The Data Science category has 53 audiobooks on Listento.it, with an average listener rating of 3.7★ across 11 ratings. The most-rated is Blockchain Technology Explained.
Blockchain Technology Explained
Summary
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
Building Intelligent Systems
Summary
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
Data Lake Architecture
Summary
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
Data Analytics: 3 Books in 1
Summary
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
Data Science from Scratch
Summary
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 that’s 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 it’s 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, don’t wait any longer. Download your copy now!
©2018 Steven Cooper (P)2018 Steven Cooper
The Internet of Things
Summary
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
Docker: 5 Books in 1
Summary
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. Don’t get left in the dust, listen to this five-book bundle today.
©2018 Daniel Jones (P)2018 K.M. Kassi
MySQL Replication Simplified
Summary
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
Data Analyses: Detailed, Scientific, and Business-Oriented Data Reading Skills
Summary
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. You’ll 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
Docker: 4 Books in 1
Summary
When it comes to creating applications that can be easily shared across servers, Docker is an increasingly popular option. Unfortunately, that doesn’t 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 Beginner’s 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. Don’t 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
And more....
Grab this four-book bundle today and learn all about Docker programming.
©2017 Daniel Jones (P)2017 K. M. Kassi
Artificial Intelligence
Summary
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
Hashgraph vs. Blockchain
Summary
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. It’s fast, secure, and fair and should become the future of how you handle transactions. Others see blockchain as the evolution of the world’s 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 Master’s 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. Keller’s audiobook shine light on a topic that is here to stay. Buy it today.
©2018 Mario Robertson (P)2018 Mario Robertson
Programming for Beginners: 10 Books in 1- 5 Books of Data Analytics and 5 Books of Linux Programming
Summary
It doesn’t 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, there’s 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 Systems Thinking in Fast Data Transmission
Summary
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
Data Analytics
Summary
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
R Programming for Beginners: For Data Science
Summary
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
Blockchain
Summary
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
Data Science: 2 Manuscripts in 1
Summary
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
Data Analytics
Summary
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
Info We Trust
Summary
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