If you're a developer, you just can't ignore databases. Databases are the storage of the information that your program will process. From a simple web-app to a world-class corporation, data is inside databases. You have to know how to read, process, and handle them. With this practical manual, you will learn how to work with SQL databases, with a focus on MySQL. You'll have access to practical examples and discover the basics to start working with these powerful tools. With this book, you will learn: What is a database and why it is essential for any web project? What are the types of databases and why you need to know MySQL? How to create your development environment on Windows, Mac, and Linux. How to create and manage databases. Functions to create and handle tables. How to manage relationships between tables. Sorting and aggregation functions. What is MySQL Workbench and how to use it.
©2019 Francesco Crema (P)2019 Kevin Lioy
This audiobook gives you the perfect foray into data analysis. We discuss data analysis in Python in a way that will benefit you irrespective of your expertise level in Python. At the beginner level, you will appreciate the simple but elaborate approach we use to introduce you to basic Python concepts necessary for data analysis. With this knowledge, you can establish your foundation in data analysis, and build on that over time as you become accustomed to more complex subjects. For intermediate and expert users, you can also benefit from this book by using it as a reminder of some of the key points that define data science. When you dwell in a field for a long time, it is easy to take some things for granted. This happens to many programmers and developers. This audiobook reminds you of the basic building principles that have helped you become one of the best data analysts in your field. Python libraries are some of the most important features in Python programming. The libraries help you perform tasks that would have otherwise been impossible to perform, or cumbersome. We discuss the major Python libraries you will use all the time, and highlight the main ones relevant to data analysis so you can get the distinction. Take note that data science is not an isolated subject. Most of the disciplines that involve Python programming depend on data, so you can expect to use the knowledge learned in this audiobook in other fields, too. For example, when you advance into machine learning, your ability to perform exceptional data analysis will be required to help you build and train relevant machine learning models. Therefore, this audiobook will not just get you ready for data analysis, it will prepare you for various fields in Python programming, including artificial intelligence, deep learning, and machine learning. Besides discussing the main Python libraries, we investigate the major data analysis libraries like Pandas and Matplotlib in-depth. These libraries will form the foundation of most of the data analysis work you perform over the years. Data analysis in Python will help you become an all-rounded developer. The good thing about learning Python is that you can use the knowledge gained to further your career in other programming languages like R. It is important to learn Python for data analysis from a conceptual and fundamental framework so that you set the right tone on which you can build your career further and advance into the future. Unlike other books, I dont claim that this audiobook will make you a master of data science after a single listen. Thats not realistic, in fact, it's even a bit absurd. What I claim is that you will definitely learn about the basics. The rest is practice. The more you practice the better you code.
©2019 Mark Graph (P)2020 Mark Graph
Did you know that the value of data usage has increased job opportunities but that there are few specialists? These days, everyone is aware of the role data can play, whether it is an election, business, or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype? This audiobook, Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't, presents you with a step-by-step approach to data science as well as secrets only known by the best data scientists. It combines analytical engineering, machine learning, big data, data mining, and statistics in an easy-to-digest method. Data gathered from scientific measurements, customers, IoT sensors, and so on is very important only when one can draw meaning from it. Data scientists are professionals who help disclose interesting and rewarding challenges of exploring, observing, analyzing, and interpreting data. To do that, they apply special techniques that help them discover the meaning of data. Becoming the best data scientist is more than just mastering analytic tools and techniques. The real deal lies in the way you apply your creative ability like expert data scientists. This audiobook will help you discover that and get you there. The goal with Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't is to help you expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. At the end of this audiobook, you will learn how to combine machine learning, data mining, analytics, and programming, and extract real knowledge from data. Get access to this audiobook now if you want to learn more about data science!
©2018 Herbert Jones (P)2018 Herbert Jones
Master the world of Python and machine learning with this incredible four-in-one bundle. Are you interested in becoming a Python pro? Or do you want to learn more about the incredible world of machine learning and what it can do for you? Then pay attention. Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and machine learning, from basic code and mathematical formulas to complex neural networks and ensemble modeling. Inside, youll discover everything you need to know to get started with Python and machine learning and begin your journey to success! In audiobook one, Machine Learning for Beginners, youll learn: What is artificial intelligence really, and why is it so powerful? Choosing the right kind of machine learning model for you An introduction to statistics Reinforcement learning and ensemble modeling Random forests and decision trees And much more! In audiobook two, Machine Learning Mathematics, you will: Learn the fundamental concepts of machine learning algorithms Understand the four fundamental types of machine learning algorithm Master the concept of statistical learning" Learn everything you need to know about neural networks and data pipelines Master the concept of general setting of learning And much more! In audiobook three, Learning Python, youll discover: How to install, run, and understand Python on any operating system A comprehensive introduction to Python Python basics and writing code Writing loops, conditional statements, exceptions, and more Python expressions and the beauty of inheritances And more! And in audiobook four, Python Machine Learning, you will: Learn the fundamentals of machine learning Master the nuances of 12 of the most popular and widely used machine learning algorithms Become familiar with data-science technology Dive into the functioning of scikit-learn library and develop machine learning models
©2019 Samuel Hack (P)2020 Samuel Hack
Newly adapted for audiobook listeners. Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively. Make informed decisions by identifying the strengths and weaknesses of different tools. Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity. Understand the distributed systems research upon which modern databases are built. Peek behind the scenes of major online services, and learn from their architectures.
©2017 Martin Kleppmann (P)2021 Upfront Books
SQL: 2 Books in 1: Beginner and Intermediate Level SQL from The Ground Up Structured Query Language (SQL) is the gold standard for interacting with modern databases. Used by companies all over the world, SQL allows users to manipulate the contents, architecture, and existence of a Relational Database Management System (RDBMS) with just a few commands. Knowledge of this simple, yet powerful tool is becoming ubiquitous in workplaces big and small, corporate, and public. From young startups to multinational conglomerates - businesses of all types need to effectively manage and process their data. SQL: Beginner and Intermediate Level SQL From The Ground Up is a combination of the first and second entries in a series of books designed to make SQL accessible to the fledgling user. The series breaks up the material into bite-sized chunks to take listener from uninitiated novice to expert scripter, with layman explanations and query examples. This double audiobook will cover: An introduction to databases An introduction to the history and formation of SQL How to create your first database Data types The concept of queries SELECT statements FROM statements The AND operator The OR operator Defining conditions Types of conditions Using JOINS ...and much more, both in this audiobook and the next in the combined series. The internet has arrived. The information age is upon us. Data is one of the most important tools in the arsenal of any business. Upgrade your skill set, and make yourself more valuable in the wide open space of data management. Buy SQL: Beginner and Intermediate Level SQL From The Ground Up, and elevate your game! PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2019 Keith Dvorjak (P)2019 Keith Dvorjak
Are you looking for a complete guide to better manage a computer network? Here is the book for you! Computer networks were created to connect individual computers to form a more powerful computing environment. In short, it aims to increase productivity. From the age of batch processing to the age of computer networks, there is no doubt that this is the case that computer networks are intended to. Now, however, there seems to be a subtle shift in technology. One of the primary purposes of modern computer networks is to connect people. People around the world can connect, communicate, and exchange ideas via the internet. This, however, was not possible in the early days of computer networks. This human-to-human computer network has gradually brought about great changes in people's daily life, school education, scientific research, and company development. The wide areas of applications of wireless networks in modern times are an indication of what the technology will offer in the future. At the moment, wireless networks have simplified a lot of human activities, such as communication, business transactions, and other activities. However, the future is brighter than most people can imagine. The modern wireless network will be childs play compared to what the future promises. Lets consider some of the major future development of wireless networks and the potential huge impact they will have on the users. In the wireless industry, there are top wireless carriers such as AT&T, Verizon, Sprint, and T-Mobile. These carriers have significantly contributed to the growth of this sector by churning out high-performance communication technologies and devices that have proved invaluable to the growth and general acceptance of wireless communication. There are different types of wireless communication, like satellite communication, IR wireless communication, microwave radio, and broadcast radio. This audiobook will cover the following chapters: Virtual Private Networks (VPNs) Virtualization & Cloud Computing Connection-Oriented and Connectionless-Oriented Managing and Troubleshooting the Network Networking Macs and PCs Unified Communications and Virtualization Future Protocols Switching The OSI and TCP/IP models The IP Addresses and Subnets Patch Panel or RJ45 Plugs Patch Panel Cabinet or Wall Mounted Scanning the Network Wardriving and the Wireless Pirates And more... Buy this audiobook now, and you will acquire high and important information about computer networking!
©2019 Erick Stack (P)2020 Erick Stack
Organizations invest incredible amounts of time and money in obtaining and then storing big data in stores called data lakes. But how many of these organizations can actually get the data back out in a useable form? Very few can turn a data lake into an information gold mine. Most wind up with garbage dumps. Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess. Bill Inmon opened our eyes to the architecture and benefits of a data warehouse, and now he takes us to the next level of data lake architecture.
©2016 Bill Inmon (P)2016 Technics Publications, LLC
Do you wonder what the fascination is around data these days? How do we obtain insights from this data? Do you know what a data scientist does? What is artificial intelligence and machine learning? Are these the same as data science? What does it take to become a data scientist? If you have ever wondered about these questions, you have come to the right place! There are many resources and courses online that you can use to learn more about data science, but with so much information available, it can become overwhelming. One of the best ways to learn about data science is to understand different machine learning concepts, statistics, and artificial intelligence to help you design models to perform an analysis. This book has all the information you need to learn what data science is and what the prerequisites are to become a data scientist. If youre a beginner or if you already have experience in data science, this book will have something for you. In this audiobook, you will: Learn what data science is about Discover the difference between data science and business intelligence Explore the tools required for data science Find out the technical and nontechnical skills every data scientist must have Figure out how to create a visualization of the data set with clear and easy examples Get advice on developing a predictive model using R Uncover detailed applications of data science And much more! The book has been structured with easy-to-understand sections to help you learn everything you need to know about data science. In this book, you will learn about the prerequisites of data science and the skills you need to become a data scientist. So, what are you waiting for? Get this comprehensive guide now!
©2021 Alex Campbell (P)2021 Alex Campbell
Are you curious about data mining and analytics? Have you ever wondered how the world is filled with so much data and what is it used for? Do you wonder how companies use data to improve their revenue and steer themselves toward the path of success? Would you like to know why data is a new currency and companies invest so much to extract, store, and process data? Do you want to know how businesses leverage data to make millions of dollars in revenue? All of this can be achieved through data mining and analytics. If you are curious to know the answers to all these questions, this is the right book for you. This book will break down the terms data and mining for you so you can understand the concepts individually and then as a whole. If you have been looking to launch yourself into the world of data mining and data analytics, this book will serve as the perfect launchpad. The book will introduce you to all the concepts of data mining and analytics in a very tailored manner. It doesnt matter if you are a beginner in the field of data or a veteran; you will have something important to take away from this book. The tools and techniques described will teach you how data mining is used by organizations to steer themselves to success. This book will take you through: An overview of data mining and the need for data mining today Comparisons between data mining and data science The tasks and issues in data mining The terminologies used in data mining The data mining query language Classification, prediction, and cluster analysis in data mining This book has been tailored for you to understand data mining and analytics. There are step-by-step guides with code syntaxes so that you can understand various data mining techniques. If youre looking for the ultimate guide in mining, analytics and metrics, then grab your copy today!
©2020 Alex Campbell (P)2020 Alex Campbell
If you are looking for a complete beginner's guide to help you learn about machine learning in just a few hours using examples, then you need to check out this audiobook. Machine learning is an incredibly dense topic. Its hard to imagine condensing it into an easily understood and digestible format. However, this audiobook aims to do exactly that. Grab your copy today and learn: The different types of learning algorithms you can expect to encounter The numerous applications of machine learning The future of machine learning The best practices for picking up machine learning What languages and libraries to work with The different types of machine learning and how they differ The various problems you can solve with machine learning algorithms And much more Starting from nothing, we slowly work our way through all the concepts that are central to machine learning. By the end of this audiobook, youre going to feel as though you have an extremely firm understanding of what machine learning is, how it can be used, and most importantly, how it can change the world. Youre also going to have an understanding of the logic behind the algorithms and what they aim to accomplish. Dont waste your time working with a guide thats only going to make an already complicated topic even more complicated. Scroll up and click the "Buy Now" button to learn everything you need to know in no time!
©2018 Steven Cooper (P)2018 Steven Cooper
If you are a student or a professional looking for more tech knowledge and skills, or if you are simply curious about the fascinating world of computer networking and its powerful applications in our everyday life, then this is the audiobook for you! In Computer Networking for Beginners Daniel Howard has condensed all the knowledge you need to pass your next exam or take a professional certification in a simple and clear way: Starting from the basics, you will learn both the theoretical and the practical elements of networking, becoming proficient with network technology, regardless of your previous experience. Learning how computers connect is not necessarily intended only for professionals. Wireless technology is all around us: When we surf the web, use social networks, or chat with friends and colleagues, we instantaneously send millions of information from one device to another. Anyone should be more aware of how this world works, especially in order to understand and avoid the potential negative impacts on our work and our privacy of the several security issues that could unexpectedly come out. Here is a tiny fraction of what you will find: A complete explanation of the different network systems and their components The OSI reference model Computer network communication systems and their applications Internet, Ethernet, and wireless technology How a router works The precise definition of IP address, with step-by-step instructions to configure it All the secrets to the little-known process of IP subnetting How to configure a VLAN An introduction to Cisco System and the CCNA certification Computer networks vulnerabilities and the basics of cybersecurity Machine learning techniques As you can easily understand, unlike all the other guides on the same topic that give you just the basics to get started, here the author has left nothing out. Becoming a professional networking engineer is now easier than ever. If you are ready to start the fascinating journey to discover this world, then get this audiobook now.
©2019 Jason Callaway (P)2020 Jason Callaway
Advancement in technology and the resulting shifts in everyday practice have brought about a fast-growing "parallel world" with new material, new data, and new sources. Irrespective of how anyone describes it, the data trend is becoming increasingly real, increasingly prevalent, and far more significant. Collating and gathering data is one thing while processing it is an entirely separate issue. It is not something that can be accomplished carelessly by merely staring at the data. If you are hoping to derive reasonable insights from the data generated, you must understand the data you are gathering, the approaches that are required, and the appropriate techniques to use when analyzing this data. How exactly can all this be achieved - well, this is exactly where this book comes in. The audiobook presents the A-Z on the realms of data analytics. It is a beginners friendly guide. Hence, if you are totally new in the world of data analytics, weve got you covered! In this audiobook, you'll find useful strategies and resources that can be used to derive reasonable insight on the data generated. Hey! Data analytics is not the scary jargon youve probably have heard about. Why not start by buying this audiobook today and uncover those simple yet comprehensive strategies employed in the world of data analytics! What to expect in this audiobook: Uncover the nitty-gritty of data and big data The two common data structures employed in data analytics The essentials of machine learning and how it relates to data analytics The data analytics life cycle Unraveling probability distributions and inferential statistics processes Some machine learning approaches to data analytics How to clean your data for analysis Data visualization tools and strategies Some common analytical and statistical packages in R, And much more! Let me work with you side by side as we discover the realms of data analytics! Buy your copy now!
©2020 Benjamin Smith (P)2020 Benjamin Smith
Gain an upper hand in your career, even if you consider yourself less technologically advanced than others.... Do you dream of a life where you can give back to your community in a meaningful way? Are you ready to commit yourself to something bigger than yourself--something that will, at the same time, earn you up to $100,000 a year or more? Are you fascinated by the technology of todays time and excited at the prospect of what the future may hold? Times are changing, and they are doing so at a rate unknown by man. The average life expectancy has more than doubled in the last 100 years, and technological advancements in medicine have allowed us all to live more prosperous lives. Likewise, scientific breakthroughs are now leading us into the depths of the oceans and out into the stars and beyond. But whats next? Well, data-ism, also known as big data, is what's next. The most exciting part about this is that the field is so fresh and new, that anyone with a little drive and curiosity can become highly involved. With the right tools and techniques, you can master data analytics in just minutes a day, setting yourself up for massive success all while becoming a key player in the future of humanity. In Data Analytics for Beginners, youll discover: What data analytics is and how it can enhance every single aspect of your life The different types of data analytics and which one will best fit your unique skill set A detailed outlook upon the evolution of data and exactly why this future looks so bright Scientific insight into the philosophy of data-ism that will alter the way in which you perceive the world An introduction and overview of the basic skills youll need to know, empowering you towards further action Why data analytics is the future of business and what this could mean for your career How becoming a data analyst will allow you to work in any industry youd like, and why this kind of freedom can't always be found elsewhere
and so much more. Becoming a data analyst isnt just a job for the ridiculous overachiever or extremely intelligent individual. Anyone can become a data analyst (yes, even you) regardless of your starting point or skills in math and technology. What the future will actually hold, we cannot say, but one thing is for certain: Well be collecting data along the entire way. You couldnt be facing a better opportunity to get in front of this movement than right now - your future in data analytics is just one click away.... If youre ready to step boldly into the future of your dreams and give back to humanity in the most profound way possible, then scroll up and click the Add to Cart button right now."
©2021 S.H Publishing (P)2021 S.H Publishing
We can't live without the internet, but we know very little about the secret industry that keeps the wheels of modern life turning; the data centre industry. This is where the internet lives. This is the industry that has the power to make or break our connections. Cloaked in mystery, with secrets, scandals, and bloodthirsty boardroom battles raging behind the scenes, this is where the magic happens. Michael Tobin OBE has been at the forefront of the data centre industry since its birth. He's seen it all, from the good to the bad, to the completely unbelievable. He's ridden the highs, leading Telecity Group from near bankruptcy to a multi-billion-dollar company, and survived the lows, like being ousted out of the very company he'd built up. This is his never-before-published account of the explosion of the data centre industry. Here, he and key industry insiders lift the lid on an industry that's been hiding its shocking stories beneath the floor tiles of data centres the world over. This audiobook exposes how an industry that's only 25 years old became the most important in the world and introduces you to the egos, opportunists, and forward-thinkers who made that happen.
©2020 Tobin Ventures Ltd (P)2020 Tobin Ventures Ltd
Data science is no easy term to define. While there are many definitions available that point out its statistical or logical aspects, others focus on its machine learning impacts. The truth is, data science is a process that requires an understanding of multiple fields, methods, techniques, and more. Data science cannot be easily labeled because, when applied, it looks different to each person, business, or organization utilizing it. While the term may not be easy to define, what it is used for, can be used for, and approaches to it can be more easily understood. And that is precisely what this audiobook aims to do. Here is a preview of what you'll discover in this step-by-step audiobook. This audiobook will not only thoroughly go over all the skills, people, and steps involved in data science, it will also look closely at: What big data is and how data science came from it. How data has evolved, resulting in new methods for understanding it. How data science influenced artificial intelligence. How data science is used in machine learning and deep learning. How data science revolutionizes the way we train machines and set up neural networks. Data science, big data, machine learning, and deep learning tend to intimidate people. Many believe it is too complicated or technology-centered for them to break into these fields. This audiobook is designed to simplify these complex aareas in a way that anyone can understand the fundamentals. Whether you are just hearing about data science, are a student studying it in college, or looking to expand your career, this audiobook has something to offer every type of data enthusiast. Take action right away by downloading this book The Fundamentals of Data Science: Big Data, Deep Learning, and Machine Learning: What You Need to Know About Data Science and Why It Matters to learn more.
©2019 Tribe Metrics, LLC (P)2020 Tribe Metrics, LLC
Become a master data analyst with this comprehensive guide on data science! Are you struggling with organizing your companys data? Perhaps, youre looking for the best way to organize it, but dont know where to start? Do the words data science and data analysis sound complicated and intimidating? If your answer is yes to any of those questions, this comprehensive guide on data science is exactly what you need. Youll enter the world of data analysis as a beginner, but Matt Foster will make sure you exit as a master. In this book, youll find methods and techniques to organize your data, extract the information, and analyze it. Theres a way to make sure your company is going in the right direction, and this audiobook will reveal the secret behind a successful business. Heres what you get: A detailed introduction on data science, its applications, and fields of study An easy to understand guide on data analysis A list of the Python Data types Instructions on how to use the Python language and code A step-by-step guide on object-oriented programming (OOP) and mind mapping A detailed list of statistical techniques used in data analysis Instructions on how to start using data science in your company or business A guide on programming languages used in data science Presentation of classification and prediction methods of data mining A guide on data preparation and why its important An introduction to NumPy mechanism and how to use it And so much more! Every company or business, no matter how large or small, generates a crazy amount of data. If that data is not processed properly, your production and profit can suffer. Avoid it by implementing data science methods in your company operations. Dont be intimidated by big, scientific words. This guide presents its content clearly and understandably. Youll be an expert data scientist in no time! If you want to enhance your companys dealings and ensure its data is organized and analyzed so there are no losses whatsoever, then scroll up and click on the "buy now" button to get the audiobook today.
©2019 Matt Foster (P)2020 Matt Foster
We turn on the lights in our house from a desk in an office miles away. Our refrigerator alerts us to buy milk on the way home. A package of cookies on the supermarket shelf suggests that we buy it based on past purchases. The cookies themselves are on the shelf because of a "smart" supply chain. When we get home, the thermostat has already adjusted the temperature so it's toasty or bracing, whichever we prefer. This is the Internet of Things - a networked world of connected devices, objects, and people. In this book Samuel Greengard offers a guided tour through this emerging world and how it will change the way we live and work. Greengard explains that the Internet of Things (IoT) is still in its early stages. Smartphones, cloud computing, RFID (radio-frequency identification), technology, sensors, and miniaturization are converging to make possible a new generation of embedded and immersive technology. Greengard traces the origins of the IoT from the early days of personal computers and the Internet and examines how it creates the conceptual and practical framework for a connected world. He explores the industrial Internet and machine-to-machine communication, the basis for smart manufacturing and end-to-end supply chain visibility; the growing array of smart consumer devices and services - from Fitbit fitness wristbands to mobile apps for banking; the practical and technical challenges of building the IoT; and the risks of a connected world, including a widening digital divide and threats to privacy and security. Finally he considers the long-term impact of the IoT on society, narrating an eye-opening "day in the life" of IoT connections circa 2025.
©2015 Massachusetts Institue of Technology (P)2015 Gildan Media LLC
It is not necessary to work on the projects associated with your job profile; you can work overtime by working on some projects which are not related to your job profile but go perfectly with your skill sets. It would give a good impression to your boss, which would further lead to promotions. It might lead to a change in your role in the organization. This would lead you to the road map of your career in this field. Python is a high-level scripting language. It is easy to learn and robust than other words because of its dynamic nature and simple syntax which allows small lines of code. Included indentation and object-oriented, functional programming make it simple. Such advantages of Python makes it different from another language, and that's why Python is preferred for development in companies mostly. In industries, machine learning using python has become popular. This is because it has standard libraries that are used for scientific and numerical calculations. Also, it can be operated on Linux, Windows, Mac OS, and UNIX. What you will gain in this book: What is meant by machine learning? A short history of machine learning. Machine learning - automation within a knowledge. The challenges of machine learning. Advantages and disadvantages of machine learning language. Machine learning in robotics. Machine learning applications. Machine learning algorithms. How machine learning is changing the world - and your everyday life. Machine learning is a new trending field these days and is an application of artificial intelligence. The main aim of machine learning is to create intelligent machines that can think and work like human beings.
©2019 David Park (P)2020 David Park
Knowledge management (KM) is the process of creating, sharing, using and managing the knowledge and information of an organisation. It refers to a multidisciplinary approach to achieving organisational objectives by making the best use of knowledge. Knowledge management efforts typically focus on organisational objectives such as improved performance, competitive advantage, innovation, the sharing of lessons learned, integration and continuous improvement of the organisation. These efforts overlap with organisational learning and may be distinguished from that by a greater focus on the management of knowledge as a strategic asset and on encouraging the sharing of knowledge. KM is an enabler of organisational learning. Information systems (IS) are formal, sociotechnical, organizational systems designed to collect, process, store, and distribute information. In a sociotechnical perspective, information systems are composed by four components: task, people, structure (or roles), and technology (that fits with the other three elements). Any specific information system aims to support operations, management and decision-making. An information system is the information and communication technology (ICT) that an organization uses, and also the way in which people interact with this technology in support of business processes.
©2020 Business Pills (P)2020 Business Pills
This book has been created to help you understand the tips and tricks to learn data analytics easily and simply. It covers all the basic tips and tricks for beginners to understand how data analytics works. You will learn the process of data analytics and how it is different from data reporting. In this book, we have given in-depth details about types of data analytics, its characteristics, and its applications. You will also learn how to become a data analyst and about the skills required for the job. We have also focused on Python for data analytics and the advantages. Important Python libraries like Pandas, NumPy, Matplotlib, and IPython have been discussed in detail. You learn about the software development tools used in IPython for Data Analytics, NumPy features, and Data Processing using Arrays. Topics like Pandas data structures, indexing, filtering, data alignment, dataframe, series, sorting, and ranking will help you understand data analytics easily. A special focus has been given on NoSQL for Data Analytics, as it plays a very important role. Various types of NoSQL databases and their features have been included in this book along with how to perform text data analytics. Since the world is moving toward Big Data, we have also covered it for you. You will find more about descriptive analytics and predictive analytics, along with the seven steps for data analytics. This book covers the statistical models and parameters like AR, Kalman regression, selection bias, and more. You will also learn the latest tools used in big data analytics. Important data visualization techniques are included in the book, with a special focus on various types of charts for visualization. So, what are you waiting for? Click on the buy button now to learn tips, tricks, and have your very own step-by-step guide on data analytics.
©2020 Benjamin Smith (P)2021 Benjamin Smith
Have you heard about Amazon Web Services - AWS? If you have, that's nice, but if you haven't, I'll tell you. Amazon Web Services is known to be a subsidiary under Amazon which has so far provided individuals, companies or even governments with platforms for on-demand cloud computing on a metered pay as you go basis. In total, these services about cloud computing provide some sort of primitive technical infrastructure that are technical and also distributed computing building blocks as well as tools. Now, if you have really chosen to learn about Amazon Web Services, you're definitely going to be needing this particular book. I have taken time to explicitly open the grey areas of AWS in this book, ranging from cloud computing, understanding the business philosophy behind Amazon, the Amazon Web Services Management Console, Services of the platform, application integration, among others. These are the benefits you stand to gain by listening to this book. This book has everything you need to know about Amazon Web Services for you to advance from beginners to advanced level for AWS. Basically, you need not look anywhere else as this book has systematically done justice to Amazon Web Services. Enjoy.
©2020 Walter Roberts (P)2020 Walter Roberts
Mastering data science doesnt have to be complicated. Data Science 2020 can help you go from novice to expert in no time at all. To keep up with this growing industry, one has to know all the ins and outs, be able to keep up with the fast-moving innovations, and really understand all the nuances of this field. In this audiobook, you will not only learn what data science is but you will learn all the variables included with it and will discover: How you can use that information to analyze data analytics for companies big and small How to strengthen your business marketing for maximum results Why python is a crucial element to master How to shore up data security And so much more! If youve ever wanted to get a leg up in this competitive field, make yourself more marketable or vital to businesses, and or have a vested interest in learning all there is to know about data science, this comprehensive guide will walk you through the process from beginning to end and will provide all the guidance you need to jump into this industry, hone your existing skills, or fill any gaps in your current knowledge. To get started, pick up your copy of this guide today!
©2019 Bill Hanson (P)2020 Bill Hanson
An essential anti-phishing desk reference for anyone with an email address, Phishing Dark Waters addresses the growing and continuing scourge of phishing emails, and provides actionable defensive techniques and tools to help you steer clear of malicious emails. Phishing is analyzed from the viewpoint of human decision-making and the impact of deliberate influence and manipulation on the recipient. With expert guidance, this book provides insight into the financial, corporate espionage, nation state, and identity theft goals of the attackers, and teaches you how to spot a spoofed email or cloned website. Included are detailed examples of high profile breaches at Target, RSA, Coca Cola, and the AP, as well as an examination of sample scams including the Nigerian 419, financial themes, and post high-profile event attacks. Learn how to protect yourself and your organization using anti-phishing tools, and how to create your own phish to use as part of a security awareness program. Phishing is a social engineering technique through email that deceives users into taking an action that is not in their best interest, but usually with the goal of disclosing information or installing malware on the victim's computer. Phishing Dark Waters explains the phishing process and techniques, and the defenses available to keep scammers at bay. Learn what a phish is, and the deceptive ways they've been used Understand decision-making, and the sneaky ways phishers reel you in Recognize different types of phish, and know what to do when you catch one Use phishing as part of your security awareness program for heightened protection Attempts to deal with the growing number of phishing incidents include legislation, user training, public awareness, and technical security, but phishing still exploits the natural way humans respond to certain situations. Phishing Dark Waters is an indispensable guide to recognizing and blocking the phish, keeping you, your organization, and your finances safe.
©2015 John Wiley & Sons, Inc., Indianapolis, Indiana (P)2016 Audible, Inc.
If you are looking to start a new career that is in high demand, then you need to continue reading. Data scientists are changing the way big data is used in different institutions. Big data is everywhere, but without the right person to interpret it, it means nothing. So where do business find these people to help change their business? You could be that person! It has become a universal truth that businesses are full of data. With the use of big data, the US healthcare could reduce their healthcare spending by $300 billion to $450 billion. It can easily be seen that the value of big data lies in the analysis and processing of that data, and thats where data science comes in. Grab your copy today and learn: In-depth information about what data science is and why it is important The prerequisites you will need to get started in data science What it means to be a data scientist The roles that hacking and coding play in data science The different coding languages that can be used in data science Why python is so important How to use linear algebra and statistics The different applications for data science How to work with the data through munging, cleaning, and more And much more The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow. As businesses and the Internet change, so will data science. This means its important to be flexible. When data science can reduce spending costs by billions of dollars in the healthcare industry, why wait to jump in? If you want to get started in a new, ever-growing career, dont wait any longer. Download your copy now!
©2018 Steven Cooper (P)2018 Steven Cooper
Produce a fully functioning intelligent system that leverages machine learning and data from user interactions to improve over time and achieve success. This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale intelligent systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What you'll learn: Understand the concept of an intelligent system: what it is good for, when you need one, and how to set it up for success. Design an intelligent user experience: achieve your objectives and produce data to help make the intelligent system better over time. Implement an intelligent system: execute, manage, and measure intelligent systems in practice. Create intelligence: use many approaches, including machine learning. Orchestrate an intelligent system: bring the parts together throughout its life cycle and achieve the impact you want. This audiobook is for software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems.
©2018 Geoff Hulten (P)2018 Geoff Hulten
Machine learning is a use of artificial intelligence (AI) that gives software the capacity to naturally learn and improve without being unequivocally modified. Machine learning centers around the improvement of computer programs that can get to data and use it to learn for themselves. The way toward learning starts with perceptions or data - for example, models, direct understanding, or guidance, so as to search for designs in data and settle on better choices later, depending on the models that we give. The essential aim is to permit the computers to adapt naturally, without human intercession or help and modify activities appropriately. Another definition is that machine learning is the study of getting computers to learn and act like humans do and improve their learning after some time in independent style, by sustaining them with data and information. Machine learning is a principal subdivision of artificial intelligence. It is the study of getting computers to learn and act like humans do and improve their learning after some time in independent style, by sustaining them with data and information. At that point, when presented with new data, these computer programs are empowered to learn, change, create, and develop without anyone else's input.
©2019 Mattia Pasquale (P)2020 Mattia Pasquale
In this three-audiobook bible, we will discuss everything you will need to know to start understanding the world of data analytics, big data, and data science for business and data mining. The information will expand past the basics of data analytics into the more complex world of predictive analytics, regression technique, and discrete choice. There are plenty of guides on this subject on the market, thanks again for choosing this one! Every effort was made to ensure it is full of as much useful information as possible. Please enjoy! Here is a preview of what you'll learn: In audiobook one: Data Analytics: The New Ultimate Guide to Understanding & Using Data Analytics, Data Mining, Big Data Data analytics utilization Challenges and risks Types of analytics Techniques applied in data analytics Data mining essentials Data analytics in real life Integrating business and data analytics In audiobook two: Data Science For Business: How to Use Data Analytics and Data Mining in Business, Big Data for Business Data science explained How to undertake data science The mastery of data science art Techniques to apply in data science Visualizing the data Application of big data in data science How to use data science appropriately In audiobook three: Data Mining: The Complete Beginner's Guide - Discover How to Use Data Mining in Business, Data Analytics Association rule mining Decision tree analysis Genetic algorithms Machine learning Regression analysis Sentiment analysis Data mining in business And much, much more Get your copy right now! PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2019 John Harper (P)2019 John Harper
Lars Nielsen and Noreen Burlingame provide a brief, understandable, user-friendly guide to all aspects of Data Science. The authors address the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field. Contents: Data Science Summarized * What is Big Data * Hadoop * Data Management * Data Cleaning * Data Modeling for Unstructured Data * Predictive Analysis * Creativity and Intuition (or Posing the Right Question, at the Right Time, for the Right Data) * Data Visualization (or Telling the Story) * Cassandra * Academic Programs
©2012 New Street Communications, LLC (P)2014 New Street Communications, LLC
It doesnt matter if your business has three employees or 300, you are likely generating far more information that you may realize and certainly far more than you are likely tracking effectively. Understanding what this data truly means starts with managing it successfully, which is where the process of data analytics comes into play. If you like the sound of putting your data to good use but arent quite sure what the ins and outs of data analytics entail, then Data Analytics: Bible of 5 Manuscripts - Beginner's Guide + Tips and Tricks + Effective Strategies + Best Practices to Learn Data Analytics Efficiently + Advanced Strategies will be your perfect learning guide. On average, there are roughly two quintillion bytes worth of new data created each and every day, which means that knowing what to do with it is easily a full-time job. Luckily, there are a wide variety of options out there when it comes to focusing in on the data that you want to use and using it in the most effective way possible. Inside, you will find all the tools you are going to need in order to do just that, regardless of if you are part of multinational conglomerate or are running your own start-up. Having the right data means being able to make the right decisions about your future because you know what your customers want, often before they do. Making the right decision in the moment means understanding the potential that this bundle of five audiobooks is offering and making the choice to go ahead and click "Buy Now"! Your future, more successful business will thank you. So, what are you waiting for? Grab this powerful pack of audiobooks that teaches you everything about data analytics.
©2018 Daniel Jones (P)2018 K.M. Kassi
Power BI: Essential Beginner's Guide to Power BI provides an overview of the key features and requirements required for the user to be able to develop dashboards that provide a 360-degree view of the business. This book is intended not only for those who want to analyze data routinely but also for those who wish to generate and perform the most diverse activities. The benefits of knowing how to analyze and make fact-based decisions are arguably beneficial not only at the executive and managerial levels but also at different levels. With this book, you will be able to learn and improve your Power BI dashboard presentations. You will learn what Power BI is, from its inception at launch, understanding its positioning in the workforce to how to install it, and how to start using it. You will learn important Power BI concepts for starting your studies and familiarizing yourself with terms that will be necessary for a firm understanding of this powerful tool. You will also understand the concepts of dashboards, data warehouse, and their practical applications. You will learn to assemble your dashboard effectively, and best practices for dashboard design and the right way to build your indicators. Then you will learn about the mechanism of the area of construction of the panels and tips for using visuals. In 3 different chapters of this book, you will learn about creating projects on Power BI. You will understand the Power BI desktop & cloud service process from the moment you create your account, publish the dashboard, and understand what happens to the dashboard when it is published. Overall in this book, you will understand the entire Business Intelligence process and how it is applied to Power BI, from information on what are the benefits of implementing this process in your day, today, and what precautions we need to take to begin analyzing data. It will open the door of your first contact with Microsoft Power BI. An overview of the basic functionality for you to understand the engine, tips on how to connect data sources, and much more!
©2019 Liam Damien (P)2020 Liam Damien
As of 2019, Microsofts Power BI is the leading analytics and business intelligence platform available on mobile applications, clouds, on-premise data gateway, data-modeling applications, report-authorizing applications, and other utilities. This audiobook offers a comprehensive analysis of the powerful tools and features contained in Power BIs arsenal. It includes the stepwise directions on how to start a Power BI project and how to share the project with a large number of users. As a listener, the audiobook will get you familiarized with the basic concepts of Power BI and how its datasets, dashboards, and reports can be used to give insights and interactive experiences. This audiobook will help you become conversant with management techniques and administration topics available on Power BI. With the knowledge acquired in the audiobook, you will be able to utilize Power BIs powerful features and carry out successful Power BI projects for your organization. Some of the topics covered in the audiobook include: Introduction to Power BI Dashboard sharing on Power BI Loading of data from different data sources into Power BI Data transformation Data modeling Combined together the tutorial topics listed above make a practical and potent beginner's guide. The flow of the audiobook is designed for the listeners to follow and apply the instructions given as they are listening along. The approach is meant to encourage the listener not only to visualize, but also actualize the step-by-step form of instructions given in the audiobook. Thanks to Power BI, Excel can also analyze and prepare large amounts of data. With this audiobook, you get everything you need for everyday work: comprehensive and understandable explanations based on clear, practical scenarios. I will show you how to handle raw data from different data sources and how to clean, link, analyze, and visualize them. You will find out how you can efficiently combine functions with Power Query, Power Pivot, Power BI Desktop, and how to use business intelligence profitably for your company! It is aimed at any professional who needs to report and perform data analysis efficiently. You do not need to have an analyst position in your work portfolio. Even if you already have experience with Power BI, you are sure to get important resources out of this audiobook. As I mentioned above, in this audiobook, you will learn the data analysis process using Power BI functions and tools, from how to install and how to schedule automatic updating of your reports to perform analytics. As with every new skill, learning Power BI requires some effort. I have structured the audiobook in such a way that you can master and apply everything in the audiobook in a systemic way. Once complete, youll be able to use this knowledge in your company and reap the results of high-quality reports, thus ensuring recognition and safety in your field. You will learn how to manage the data sources in Power BI, Q&A for Natural Language Query, Power BI Architecture, Publishing and Scheduling Reports, etc. The audiobook has individual chapters for Power BI Desktop functionalities, Power BI real-time dashboard, Report Generation and Mail, Dynamic low-level security, Toggle buttons, Tooltip features, and more. This audiobook will help you learn the navigation pane, dashboard tiles, designer files, sorting data, scheduling automatic refreshes, and report generation using visualization. You will get to learn exciting details on how to integrate Power BI with SharePoint and Dynamics 365 with a detailed description. After learning the above, you will be able to create a Power BI report and publish them on SharePoint easily.
©2020 Daniel Jones (P)2020 Daniel Jones
As of 2019, Microsofts Power BI is the leading analytics and business intelligence platform available on mobile applications, clouds, on-premise data gateway, data modeling applications, report authorizing applications, and other utilities. This audiobook offers a comprehensive analysis of the powerful tools and features contained in Power BIs arsenal. It includes the stepwise directions on how to start a Power BI project and how to share the project with a large number of users. As a listener, the audiobook will get you familiarized with the basic concepts of Power BI and how its datasets, dashboards, and reports can be used to give insights and interactive experiences. This audiobook will help you become conversant with management techniques and administration topics available on Power BI. With the knowledge acquired in the audiobook, you will be able to utilize Power BIs powerful features and carry out successful Power BI projects for your organization. Some of the topics covered in the audiobook include: Introduction to Power BI Dashboard Sharing on Power BI Loading of Data from different data sources into Power BI Data transformation Data modeling. Combined together the tutorial topics listed above make a practical and potent beginners guide. The flow of the audiobook is designed for the listeners to follow and apply the instructions given as they are listening along. The approach is meant to encourage the listener not only to visualize but also actualize the step-by-step form of instructions given in the audiobook.
©2019 Daniel Jones (P)2020 Daniel Jones
Learn how big data and other sources of information can be transformed into valuable knowledge - knowledge that can create incredible competitive advantage to propel a business toward market leadership. Learn through examples and experience exactly how to pick projects and build analytics teams that deliver results. Know the ethical and privacy issues, and apply the three-part litmus test of context, permission, and accuracy. Without a doubt, data and analytics are the new source of competitive advantage, but how do executives go from hype to action? That's the objective of this audiobook - to assist executives in making the right investments in the right place and at the right time in order to reap the full benefits of data analytics.
©2017 John Thompson and Shawn Rogers (P)2018 John Thompson
Do you want to learn the basic concepts to build your computer network in a simple and effective way? Read on. We are more than happy to present our latest book Computer Networking Beginners Guide - a comprehensive guide for any newcomer interested in understanding the operation of computer networks and telecommunication technology, in general. A computer network is a type of telecommunications network characterized by a set of hardware devices with appropriate switching software and nodes connected to each other by special communication channels (links) to provide a communication service that allows the exchange and sharing of data and communication between multiple users or devices. The data is transferred as a PDU (packet data unit), consisting of a header (which contains the data for sending the message) and a body (which contains the body of the message), all governed by strict protocols. To create a computer network, it is necessary to know all the basic concepts so that the network is efficient and, above all, safe from possible external attacks. Whether you are responsible for a small network or a large network, this audiobook is full of information needed to create a network and keep it running. Becoming a network owner has never been easier. This is the basic guide to creating, managing, and protecting a successful network. It is the network guide for every beginner. When you finish listening to this audiobook, you will learn all the basic concepts for an efficient and secure network and so much more! What are you waiting for? Get comfortable and listen to your audiobook. Scroll up, click the "buy now" button, and get the audiobook!
©2020 Kevin Morgan (P)2020 Kevin Morgan
Have you ever wondered how some complex technological advances, like speech recognition and search engines, really worked?
What if you were able to learn how to make some of these work for your own programming needs, even if you are brand new to the world of programming?
Machine Learning for Beginners is the guidebook that you need. Inside Machine Learning for Beginners, we are going to take a look at some of the different things that you need to know if you have ever been interested in learning how to work with machine learning and all of the cool things that we are able to do with this kind of programming language.
Some of the different topics of machine learning that we are going to spend time on will include:
What is data science and why is it important?
What are machine learning and the benefits of using this kind of programming?
The difference between machine learning and artificial intelligence.
The basics and building blocks that you need to know about machine learning.
The differences between supervised machine learning, unsupervised machine learning, and reinforcement machine learning.
The tips that you need to ensure that you are able to get the most out of machine learning.
There are a lot of different benefits that are able to get when you start working with machine learning for some of your programming needs. When you are ready to work with machine learning and use it in some of your own programs and computer needs, make sure to check out this guidebook to help you get started.
Once you complete Machine Learning for Beginners, you will be more than prepared.
Scroll back up to the top of this page and hit BUY IT NOW to get your copy of Machine Learning for Beginners!
©2019 Leonard Deep (P)2019 Leonard Deep
SQL: 2 Books in 1: Advanced and Elite Level SQL from the Ground Up Structured query language (SQL) is the gold standard for interacting with modern databases. Used by companies all over the world, SQL allows users to manipulate the contents, architecture, and existence of a relational database management system (RDBMS) with just a few commands. Knowledge of this simple yet powerful tool is becoming ubiquitous in workplaces big and small, corporate and public. From young start-ups to multinational conglomerates - businesses of all types need to effectively manage and process their data. SQL: 2 Books in 1: Advanced and Elite Level SQL from the Ground Up is a combination of the first and second entries in a series of books designed to make SQL accessible to the fledgling user. The series breaks up the material into bite-size chunks to take readers from uninitiated novice to expert scripter, with layman explanations and query examples. This double book will cover: The UNION concept The INTERSECT concept The char function The position function The concept of queries The locate function Working with numeric data Inner joins Outer joins Conditions Transactions ...and much more! The internet has arrived. The information age is upon us. Data is one of the most important tools in the arsenal of any business. Upgrade your skill set, and make yourself more valuable in the wide open space of data management. Buy SQL: 2 Books in 1: Advanced and Elite Level SQL from the Ground Up, and elevate your game! PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2018 Keith Dvorjak (P)2019 Keith Dvorjak
Are you ready to dive into the world of the blockchain technology and cryptocurrencies?! What is blockchain? How does block actually work? How does blockchain technology affect our future, and what can it be used for? Step up your game and take your blockchain and cryptocurrency knowledge to the next level! The blockchain is an undeniably incredible invention created by Satoshi Nakamoto. But, since then, it has evolved into something greater, and the main question every single person is asking is: What is blockchain? Blockchain is the world's leading software platform for digital assets. Digital assets, like Bitcoin, Ethereum, Ripple XRP, and Litecoin allow users to transact directly without any third-party intermediary and was built to radically improve the financial system. There is a lot of speculation and misinformation about blockchain technology. While it is a rather technical subject, it can easily be understood if taught by the right person. In this simplified guide on blockchain, you'll learn how this new technology actually works. You'll be guided through every aspect of blockchain thoroughly to gain a deeper understanding of the meaning behind it. By the end of the audiobook, you'll know everything you need to know about this topic and be ready use that information for future applications and investments. A preview of what you're getting out of Blockchain Technology Explained when downloading it today: How blockchain technology works Benefits of blockchain technology Challenges of blockchain technology Why blockchain is important Blockchain wallet The future of blockchain Blockchain programming Blockchain security Blockchain mining Much, much more!
©2018 Mark Atwood (P)2018 Mark Atwood
Basic data science explained. Explore the field of data science, and the way to analyze big and small data. This technical audiobook goes over the main aspects of analyzing data correctly, by using various strategies you need to implement in order to get results that are precise and beneficial. Learn about: Modeling data and visualization. The three V's of big data and what to do with them Software recommendations and applications Machine algorithms and interesting side notes regarding them Rules, infrastructure, adaptation, and other techniques Perception and cognition basics that apply to data Efficient uses of regression, database querying, machine learning, and data warehousing Curious yet? Then don't wait and start listening, so you don't have to remain in the dark. Save yourself the time and learn from what worked for me. I will see you in the first chapter!
©2017 Charles Jensen (P)2017 Charles Jensen
Info We Trust celebrates data storytelling, as explained by one of the field's most talented creators. Both engineer and artist, R. J. Andrews draws on disciplines from across the human experience to show how to create new ways of seeing the world. And most importantly, to build powerful data-driven information that is worthy of trust. Maps, charts, and diagrams are the artifacts we use to picture information. But the lively exchanges these objects spark are what create meaning. How they inform - what they tell us and how they impact our decisions - matters most. This audiobook shows how to arrange data into stories that deliver insights and inspiration. Rich with practical details, Info We Trust surfaces timeless principles to empower all to grow our knowledge and do great things together with data. PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2019 John Wiley & Sons, Inc. (P)2019 Gildan Media
Two precise audiobooks in one about analyzing and mining data! Audiobook 1: Dive into the complicated matter of analyzing and mining for data correctly. Forget about intuition or assumptions. Data are facts you can rely on if you draw the right conclusions. Drawing those conclusions requires certain skills, and a background in knowledge that leads to the proper steps. This guide will help you along the way by addressing topics such as: The what and why of data mining, and the different applications to business-related topics Attributes, classifications, datasets, and types of learning you need to understand, to fully be aware of what you are dealing with Data quality and data quantity thoughts Data mining process steps, including CRISP-DM and SEMMA Linear, probabilistic, and other models to use in the visualization and analysis of data you have found Techniques such as clustering, viewing genetic algorithms, and neural networks Evaluation analysis strategies, classification, and numeric predictions Audiobook 2: Explore the field of data science, and the way to analyze big and small data. This technical audiobook goes over the main aspects of analyzing data correctly, by using various strategies you need to implement in order to get results that are precise and beneficial. Learn about: Modeling data and visualization The three V's of big data and what to do with them Software recommendations and applications Machine algorithms and interesting side notes regarding them Rules, infrastructure, adaptation, and other techniques Perception and cognition basics that apply to data Efficient uses of regression, database querying, machine learning, and data warehousing
©2017 Charles Jensen (P)2017 Charles Jensen
What sets Docker apart is the way that it parses out information, which is done through the use of containers. A container allows developers to ship out applications that already include everything they need to run properly, regardless of the environment they find themselves in. This cuts down on design time and potential headaches significantly, while also creating a uniform experience for users of the application, no matter what their personal situations may be. Docker adoption rates have jumped in the past year by more than 40 percent, with more than 30 percent of all programmers currently using it to one extent or another. Dont get left in the dust, listen to this five-book bundle today.
©2018 Daniel Jones (P)2018 K.M. Kassi
Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. A recent report explained that the need for these scientists has increased by more than 50 percent since last year. These scientists often referred to as big data wranglers, are a perfect blend of mathematician and computer scientist. Data science is a field of study that is growing at a fast pace. From big tech companies to E-commerce companies to websites and many others are now relying on data science. Amount of data that is collected by these companies are without any bounds. Semi-structure to big unstructured data is stored in large frameworks of these companies. Now the question is how to use this. What you will gain as knowledge in this audiobook: Why Is Data Science Widely Used? Why Should You Study Data Science? Why Should One Consider Data Science as a Career? Data Science: An Exciting Career Option Types of Data Loss and Recovery Options Data Science and Its Wide Range of Applications What Are the Programming Languages Required for Data Science? Meaning of Data Science in Depth 4 Weird Ways How Data Is Used around the World 5 Reasons Why Data Science Could Be the Advertising Wave of the Future It is a field where one should be trained and practiced. Without proper training and applicative skills, one cannot be as successful as a data scientist. There is a lot to learn about various data science tools and techniques. Getting certified will not only help you hone your skills but also will confirm your future as a data scientist.
©2020 David Park (P)2020 David Park
Want to learn everything about the game-changer for the world of finance? Learn how you can benefit from blockchain now! This is an excellent book for beginners to understand the business potentials of blockchain! Blockchain is a way of revolutionizing business transactions. It was developed in conjunction with Bitcoin technology but can be applied just about everywhere and has enormous implications for education and the future of finance. Blockchain, however, is more basic than just a tool for finance. Therein lies its incredible potential. At the most basic level, it is a digital ledger of transactions, one that is accessible to the public and keeps track of transactions anonymously. This awesome book covers: What is blockchain? The history of blockchain The advantages and disadvantages of blockchain technology What can blockchains enable? Examples of public and private blockchain concepts The mechanics of blockchain Legal impacts of the blockchain technology And more Download the book right away and find out the endless possibilities of blockchain!
©2017 Anthony Idalion (P)2018 Anthony Idalion
Are you ready to learn a new coding language? Are you in charge of working with statistics or need to get through a large amount of data and you are worried about how to get it all done in a manageable way? Then it is time to learn how to use the R programming language. This language was designed with the idea of statistics and data analysis in mind and you will find that it can make your life easier in no time. This guidebook is going to spend some time talking about the R programming language and how it can work out well for you. You are going to learn how to use this programming language, what some of the benefits are, and how to make tables, percentages, and charts to get the work done. Some of the other things you will learn inside this guidebook include: What is R programming? What are some of the fundamentals of using the R language code? How to make vectors and matrices in the R language How to work with the arithmetic functions inside this code How to make a working directory And some of the other tasks like functions and loops When you are ready to find a program that can help you to work with your statistics and data analysis, it is time to bring out the R programming language and use this guidebook to learn how to make it work!
©2017 Marcello Bettoni (P)2017 Marcello Bettoni
Have you always wondered what you can do with the large volumes of data you have collected? Do you want to know if you can use this data to obtain some insights about your life or your business? If you answered yes to these questions, you have come to the right place. Data analytics and data science have taken the world by a storm. People have been using data analytics to improve their businesses and their lives. Data analytics helps you obtain some insight from the collected data. These insights will help you make the right decisions about any issues or problems that you are facing. So, what is data analytics? Over the course of the audiobook, you will learn more about data analytics. You will also gather information on: What is data science is What are the skills that one needs to develop to become a data scientist What is big data and its benefits What is data and how can it be used to obtain insights What are the different types of data analytics What is data visualization How to interpret data What are data mining and the different algorithms used for data mining What are a few data mining tools and their advantages What is data integration and the process You will also gather information about some applications of data analytics. If you want to learn the basics of data analytics, buy the audiobook now.
©2019 Liam Damien (P)2020 Liam Damien
Unlock the secret to becoming a "big picture thinker" in information technology, take the guesswork out of solving difficult problems with powerful mental models, and develop efficient problem-solving skills! Have you ever wondered if there is a better way to solve sticky problems in a way that doesn't create new ones? Are you struggling to understand why things go so wrong even when you did all the right things? Are you ready to discover a powerful mental framework to help you see the big picture and find efficient answers to tough questions and problems? If you answered yes to any of these questions, then keep listening.... In this guide, Alice Keys helps you understand the fundamentals of systems thinking, especially when it comes to information technology and provides you with the actual blueprint to applying this powerful way of thinking to your personal and professional life. You'll learn how to overcome the limitations of traditional, linear thinking and learn how to solve complex, dynamic problems in practical ways using a proven cognitive tool that will help you achieve the results you desire. Among the insights contained in The Systems Thinking in Fast Data Transmission, you're going to uncover: Everything you need to know about information technology and the programming development life cycle The top six software development methodologies you absolutely need to know about A crash guide to the system theory for information technology and software development A step-by-step guide to systems thinking for the age of information technology The six core ideas of systems thinking that will help you develop an aptitude for thinking in systems Four life-changing reasons you should adopt a systems thinking mindset for all your endeavors And tons more! Whether you want to leverage the power of systems thinking in your organization or use it to great effect in your own personal interaction with the world, this guide will equip you with all the mental tools you need to confront every challenge and obstacle you may face with supreme confidence.
©2020 Alice Keys (P)2020 Alice Keys
It doesnt matter if your business has three employees or 300, you are likely generating far more information than you may realize, and certainly far more than you are likely tracking effectively. Understanding what this data truly means starts with managing it successfully, which is where the process of data analytics comes into play. On average, there are roughly two quintillion bytes worth of new data created each and every day which means that knowing what to do with it is easily a full-time job. Luckily, there are a wide variety of options out there when it comes to focusing in on the data that you want to use and using it in the most effective way possible. Inside you will find all the tools you are going to need in order to do just that, regardless if you are part of multinational conglomerate or are running your own startup. Having the right data means being able to make the right decisions about your future because you know what your customers want, often before they do. Making the right decision in the moment means understanding the potential that this bundle of audiobooks is offering and making the choice to go ahead and buy it! Your future, more successful business will thank you. If you want to learn Linux programming, theres not a better book on the market for you. This powerful pack of audiobooks is going to assume you know absolutely nothing about Linux, then teach you everything from A-Z. Some of the most significant topics that will be covered in this book are as follows: The most common and useful Linux command line tools How to write Bash scripts and automate your command line workflow How to program in C++ and Python How to understand and think about high-level programming concepts in order to become a better programmer The differences between functional and object-oriented programming and how they apply to you You may be absolutely stumped and not know where to look. However, this book will teach you everything you need to know - and fast! Without mincing words, the book teaches you two programming languages, how to write scripts, and how to navigate the Linux command line very well. So what are you waiting for? By this audiobook bundle now and get to programming on data analytics and Linux like a master!
©2018 Daniel Jones (P)2018 K.M. Kassi
The financial system is in the process of rocking off its feet. Change is inevitable, but where is the future of cryptocurrency? Is it hashgraph technology or blockchain technology? Some say that hashgraph is the future. Its fast, secure, and fair and should become the future of how you handle transactions. Others see blockchain as the evolution of the worlds economy, especially after it burst into awareness in 2017. You decide. Hear the facts and comparisons in this easy-to-listen-to and well-researched book authored by business owner, Stephen C. Keller. Mr. Keller holds a Masters degree in Healthcare Management from Park University and has had first-hand experience helping produce blockchain solutions for his own healthcare medical records company. Included in these six educational chapters are topics such as: What the change looks like Blockchain in simple terms and how it works Bitcoin New cryptocurrencies Who, what, and why of hashgraph Hashgraph versus Bitcoin - why Hashgraph wins A distrust of the current capitalist system has been growing. The Washington Post showed that more than half (51%) of millennials from the US reject capitalism. Unless trust is restored in the young, financial institutions will have no future. The time to understand cryptocurrency and its future is now. This is your future, too. Even though this book is designed for listeners who are well versed in the crypto-sphere, a newcomer will have no problem gaining a comprehensive perspective of both technologies. Let Mr. Kellers audiobook shine light on a topic that is here to stay. Buy it today.
©2018 Mario Robertson (P)2018 Mario Robertson
If you've been following the news, you probably know that artificial intelligence is taking over. Self-driving trucks, face recognition, machines, and automatic cashiers are becoming the replacement for regular human beings. If you want to learn more about artificial intelligence, where it comes from, how some of it works, and what the future might look like, this audiobook is for you. Don't wait. Click on the "buy now" button to get this futuristic, informational gem.
©2019 John Cobar (P)2020 John Cobar
When it comes to creating applications that can be easily shared across servers, Docker is an increasingly popular option. Unfortunately, that doesnt mean it is especially easy to use, and without a guide, it can be easy to get lost without creating much of anything. If you are interested in putting Docker to work for you, then Docker: The Ultimate Beginners Guide to Learn Docker Programming is the audiobook that you have been waiting for.
What sets Docker apart is the way that it parses out information, which is done through the use of containers. A container allows developers to ship out applications that already include every it needs to run properly, regardless of the environment it finds itself in. This cuts down on design time and potential headaches significantly while also creating a uniform experience for users of the application, no matter what their personal situations may be. Docker adoption rates have jumped in the past year by more than 40 percent with more than 30 percent of all programmers currently using it to one extent or another. Dont get left in the dust, get this audiobook today.
Inside you will find:
A detailed breakdown of what makes Docker so unique
How to get started using Docker no matter what OS you use
Tips and tricks for using it as effectively as possible
Grab this four-book bundle today and learn all about Docker programming.
©2017 Daniel Jones (P)2017 K. M. Kassi
An extensive guide to help you analyze data more effectively. Learn more about how to analyze data now! Explore the field of data science and the way to analyze big and small data. This elaborate guide will take you on a journey to multiple aspects of this skill. There is a trick, a science, to doing it the right way, and some of the most important secrets will be revealed in the chapters ahead of you. Dive into the complicated matter of analyzing and mining for data correctly. Forget about intuition or assumptions. Youll learn, among others: Linear, probabilistic, and other models to use in the visualization and analysis of data you have found. Systems such as clustering, viewing genetic algorithms, and neural methods. Assessment analysis strategies, organization, and numeric predictions. Modeling data and imagining. The three Vs of big data and what to do with them. Software recommendations and applications. What to do exactly with big data. Basics, risks, and tactics to analyze data. Social network data analysis. Purposes for health care, business, and industrial data. Tips on analyzing decision trees, regression, and sentiment. Attributes, classifications, data sets, and kinds of learning you must recognize to fully be aware of that with which you are dealing. Data quality and data quantity thoughts. Data-mining procedure steps, including CRISP-DM and SEMMA. Machine algorithms and interesting sidenotes regarding them. Instructions, infrastructure, edition, and other methods. Perception and cognition basics that apply to data. Effectual uses of regression, database querying, machine learning, and data warehousing. Data creates truths you can trust in if you draw the right conclusions. Drawing those conclusions involves clear skills and a background in information that leads to the correct steps. If this is up your alley, the best thing to do for you right now is to start listening. Add this audiobook to cart now!
©2018 Benjamin Farrar (P)2018 Benjamin Farrar
MySQL Replication Simplified explains how the replication process works and what the benefits are. Then, it provides detailed step-by-step east to understand examples with visuals to set up a variety of replication configurations including the process of copying master to replica, making configuration changes and commands to establish replication. This audiobook offers ways to troubleshoot, especially to interpret errors and to repair broken replication. In the end, it provides a mechanism to monitor working replication to alert on the event of replication issues. This book covers the following topics: What is MySQL Replication Benefits of replication How replication process works Replication configurations Components of Replication system Approach to replication Copying master to replica MySQL configuration parameters Commands useful to establish replication Setting up of replication user account Establishing various replication configurations Skipping SQL Errors Using SQL_Slave_Skip_Counter Experimenting with auto increment variables Interpreting show slave status output Understanding shows process list Including & excluding databases & tables in replication Interpreting binary and relay log files using mysqlbinlog Troubleshooting and repairing broken replication Monitoring MySQL replication
©2014 Sribatsa Das (P)2014 Sribatsa Das