The Computer Science category has 133 audiobooks on Listento.it, with an average listener rating of 4★ across 570 ratings. The most-rated is Life 3.0.
Machine Learning: Master Machine Learning Fundamentals for Beginners, Business Leaders and Aspiring Data Scientists
Summary
Are you looking forward to learning machine learning? No matter your skill level, this powerful, three-in-one audiobook will get you started to help you begin and expand your knowledge. Inside you’ll find: Master Machine Learning Fundamental for Beginners Framing - work out the scope and look at the project as a whole Get insights from your data Prepare your data so the algorithms can see the data patterns Fine-tune and put your models together in a fantastic solution Master Machine Learning for Business Leaders Machine learning for your business Data mining techniques Business optimization Machine learning for marketing Machine learning for finance Day trading with machine learning Master Machine Learning for Aspiring Data Scientists The different types of machine learning algorithms, including regression and classification Data cleansing The downsides of some algorithms The ins and outs of machine learning iteration Training models Exploratory analysis And much more.... So download a copy and start building your confidence and skills. Begin your journey to mastering the concepts of machine learning.
©2019 MG Martin (P)2019 MGC Publishing
![Cover art for Aprendizaje Automatizado [Automated Learning]](https://m.media-amazon.com/images/I/51xSC5-UvgL._SL500_.jpg)
Aprendizaje Automatizado [Automated Learning]
Summary
El mundo de la tecnología es capaz de captar la imaginación. Hay tantas grandes posibilidades ahí fuera. Desde el reconocimiento de voz hasta el reconocimiento facial, pasando por todos los diferentes tipos de aparatos y software que existen, parece que la tecnología no se va a ralentizar en un futuro próximo. Incluso con todas las cosas geniales que ya tenemos a nuestra disposición, es posible que en unos pocos años, habrá aún más que podemos hacer con esta asombrosa tecnología que no somos capaces de hacer ahora. Y gran parte de ello se debe al aprendizaje automático. Esta guía va a tomar algún tiempo para explorar el aprendizaje automático y de qué se trata. Hay muchos aspectos diferentes del aprendizaje de la máquina y cómo hacer que funcione para sus necesidades, y todo ello se encuentra en esta guía. Algunos de los diferentes temas sobre los que podrá aprender en el interior incluyen: ¿Qué es el aprendizaje automático y por qué un programador querría aprender a usarlo? ¿Es la inteligencia artificial lo mismo que trabajar con el aprendizaje automático? Cómo trabajar con las estadísticas y la probabilidad para entender mejor el aprendizaje automático. Aprender algunos de los bloques de construcción que asegurarán su éxito con el aprendizaje automático. Algunos de los algoritmos de aprendizaje de máquina que puede utilizar en sus propios proyectos. La diferencia entre el aprendizaje supervisado, no supervisado y el aprendizaje de refuerzo. El aprendizaje automático está haciendo grandes cambios en el mundo de la tecnología. Y a medida que más programadores empiecen a aprender acerca de ella y cómo usarla, las posibilidades van a seguir creciendo. Cuando esté listo para aprender más acerca de lo que significa el aprendizaje de la máquina, y cómo puede beneficiarse de ello en su propia programación y codificación, asegúrese de consultar esta guía para ayudarle a comenzar. Desplácese a la parte superior de la página y seleccione el botón Comprar ahora! Traducción realizada con la versión gratuita del traductor www.DeepL.com/Translator Please note: This audiobook is in Spanish.
©2019 Joseph Mining (P)2019 Joseph Mining
Hypothesis Testing: The Ultimate Beginner's Guide to Statistical Significance
Summary
The perfect book for beginners wanting to learn about hypothesis testing & statistical significance! Best-selling IT & mathematics author Arthur Taff presents a leading book for beginners to learn and understand hypothesis testing - specifically statistical significance. Statistical significance is a way of determining if an outcome occurred by random chance, or if something caused that outcome to be different than the expected baseline. Statistical significance calculations find their way into scientific and engineering tests of all kinds, from medical tests with a control group and a testing group, to the analysis of how strong a newly made batch of parts is. Those same calculations are also used in investment decisions. In this book, you will get: A breakdown of all the major types of statistical significance calculations, and workings through an example using them, with an explanation of when you would use that specific type instead of one of the others. The book features an easy-to-understand approach that doesn't assume you have prior in-depth knowledge of statistics or that you regularly use an advanced statistics software package. Arthur's personal email address is included for unlimited customer support if you have any questions. If you are a person who learns by example, then this book is perfect for you! It is a very important topic with use in a wide range of industries and situations - so dive in to get a deep understanding!
©2018 Arthur Taff (P)2018 Arthur Taff
A Beginners Guide to Kali Linux
Summary
The truth is: Kali Linux is an open-source project which is maintained and funded by Offensive Security. It provides state-of-the-art information security training and penetration testing services. Do you want to know more about Kali Linux? Do you want to increase your knowledge about Kali Linux? Read on...It is a Debian-based Linux distribution which aims at advanced penetration Testing and Security Auditing. There are various tools in Kali which look after information security tasks like Security Research, Computer Forensics, Penetration Testing, and Reverse Engineering. Released on 13th March, 2013, it is a comprehensive rebuild of the BackTrack Linux, maintaining the Debian development standards. Kali Linux includes more than 600 penetration testing tools. There were many tools in backtrack which needed a review as some of them did not work whereas the others were a duplicate of the tools having similar functions. The tools are completely free of charge and all the source code going into Kali Linux is available for everyone who wants to customize the packages to suit their specific needs. Kali also adheres to the File system Hierarchy Standard allowing the Linux users in easy location of binaries, supporting the libraries and the files etc. The goal of the ayudiobook is simple: The audiobook helps in knowing more about Kali Linux. Most of the penetration tools are written in English but Kali includes a multilingual approach. This makes it accessible to a greater number of users who can operate it in their own language. They can also locate the tools which are needed for their job. The kernels can also be customized. The penetration testers often have the requirement of doing wireless assessments. So, the kernel has the latest injection patches so that they can be patched for injection. Every package is also signed by the individual developers who have built and committed it. You will also learn: The basic of Kali Linux Step-by-step guide on how to install and download Uses and applications of Kali Linux List of all uses with applications How scanning of devices in a network works Learning the essential hacking command line How Linux commands can be used in hacking Use 1 Examples of uses Customizing Kali Linux Would you like to know more? Get this audiobook now!
©2019 Michael Smith (P)2019 Michael Smith
Machine Learning for Beginners
Summary
If you need to learn how to use machine learning, big data, data science, and neural networks but you can’t (or there is no time to) study the complicated math and algorithms behind these technologies, then keep reading. All technologies related to artificial intelligence represent an incredible opportunity if you want to grow your business or if you are searching for a new job, but it’s not very easy to understand how they work. Sometimes, even the most seasoned and skilled engineers are scared to approach this new topic. This audiobook can assist you in understanding: How machine learning works How to use big data and neural networks in a data science project Why machine learning is crucial for data science How to design a machine learning based solution Even if you have not a degree in computer science or math, even if you have never worked in a project based on artificial intelligence, with this audiobook you can understand how to benefit from this set of technologies and unlock their extraordinary potential. If you want to enter into the exciting world of machine learning, get this audiobook now!
©2019 Konnor Cluster (P)2019 Konnor Cluster
Machine Learning
Summary
Are you thinking that as much as we want to look for logical frameworks for intelligence, there is no certainty or scientific proof that intelligence is as structured as we believe it to be? As in the evolutionary process, where chaos and order wisely coexist, I see a research gap related to our brain and mind typically related to focusing on models based solely on order. But if we are researching artificial intelligence, why are we so attached to the order and models that are supposed to be those of our brain? Or, what binds us so much to what we see only, without opening spaces to what we don't see, if only to consider them small pieces of chaos? In this openness and vision, when it comes to intelligence, I propose a new concept: that of unstructured intelligence, which I will try to explain in this book. In this book, you will learn: Automatic learning Machine learning paradigms Inductive learning Induction of decision trees The relevance of attributes Algorithms Cluster And much more.... I think one of the main reasons for AI's long winter was that we went deep into it, creating architectures focused on existing paradigms, with little investment in new technologies and standards, such as machine learning itself. But are we aren't repeating the same mistake in this new wave of AI? If so, I consider the main mistake too much focus on artificial neural network architectures, as if this was the solution to solving complex learning problems in the human pattern or even the main door to generic artificial intelligence with semantic analysis capabilities. And a possible solution to avoid the same history of past failure, perhaps, is to tackle high complexity real-world learning problems collectively and collaboratively, such as creating AI systems that can teach them to learn for themselves, like us humans. So the architecture that seems to be the most logical for such problems is precisely the hybrid, where we have the most varied types of learning. In fact, before we are born, we are already learning in a hybrid way, with labeled and unlabeled data, by its very nature, and all its mechanisms of evolution. You may think that you don't remember any important labeled data when you were a baby or child, but your mind and brain did a swell job to solve the puzzles that required some labeling to move on, as unsupervised learning systems follow. So we can think of a similar machine architecture where the basis for all inferences is supervised learning, but capable of labeling any data that is not done by humans or other machines. And even criticize existing labels. We are actually talking about machine learning - unsupervised - to generate labels for machine learning. And creativity, in my view, is one of the essential links to evolve in understanding and formalizing new machine learning models. Do you really want to easily learn and understand machine learning? If so, get started today: scroll to the top, and click “buy now”.
©2019 Denny Novikov (P)2019 Denny Novikov
Machine Learning with Python
Summary
We live in a world of data deluge where gigabytes of data are generated daily. It is possible that this data might not be very useful for our daily applications. Major setbacks in the use of such data may be due to the presence of loopholes in data links previously generated or the data might be too vast for the limited human mind. Machine learning in this audiobook presents some of the solutions to the problems above. Being an introductory guide, expect to learn the various basics involved in Machine Learning and Python. This audiobook provides an insight into the new world of big data, then behooves you to learn more about Machine Learning. You will be able to get answers to the following questions: What is Machine Learning and what does it entail? How can I apply machine learning to have a glimpse into the new world, power my enterprise, or find out how the Internet thinks about my academic research work? This is one of the best languages that you can choose to begin learning and at the end have a successful career in it. I know that you are going to have a very nice experience in this programming language. In summary, since the programming language was open-sourced, we expect a lot of advancements and developments on the language that will make it simpler and easier to use over the coming years. Be ready to learn all that it takes to be an expert in the field of Machine Learning!
©2019 Ethan Williams (P)2019 Ethan Williams
Artificial Intelligence and Machine Learning
Summary
If you are interested in learning about artificial intelligence and machine learning or investing in these technological innovations, then Artificial Intelligence and Machine Learning: AI Superpowers and Human + Machine a Visionary Revolution in Finance, Medicine and Business. Find Out Top Influent People of the Era with a Modern Approach, is the book that you have been waiting for. Although artificial intelligence and machine learning algorithms have been here with us for long, the ability to apply big data and make mathematical calculations even faster is a recent phenomenon. This book enlightens you on how the two technological developments have been able to speed up the process of economic growth and career advancement. To that end, this book provides an in-depth overview of artificial intelligence and machine learning, highlighting their historical development and application in various fields including finance, business, and medicine. It covers how artificial intelligence interacts with human intelligence, including the possible partnerships between humans and machines and how each influences the other. People can utilize so much from artificial intelligence and machine learning to improve their lives and enhance their productivity. An interesting concept covered in this book is the AI superpowers across the world, and how they impact the development of AI today and possibly in the future. These include Amit Singhal of Uber, Andrew Ng of Baidu, Elon Musk of SpaceX, and Tesla, among others. Artificial intelligence and machine learning are important tools that can promote development through enhanced production in various fields, including finance, medicine, business, and air. This is why you will learn how to invest in artificial intelligence, the possible benefits, and risks associated with the technology. Inside this book, you will find: Understanding of the definition, goals, advantages, and relationship of artificial intelligence and machine learning An overview of the relationship between artificial intelligence and human intelligence An outline of the key technology behind the Human-Machine Interface An overview of AI superpowers and AI key players An understanding of the 10 most influential people and their contribution to AI development And many more...
©2020 Jeff MC Frockman (P)2020 Jeff MC Frockman
Python Machine Learning
Summary
Start programming python. What if you could make your own program, one that is able to learn by trial and error, or based on the information that you show it? What if you could get a program that could adapt and change based on the input of the user? And what if you were able to make all of this happen with the Python coding language, helping even beginner’s work with more complicated codes? This is all possible with Python machine learning. This guidebook is going to take some time to look at Python machine learning and all of the neat things that you are able to do with it. Machine learning is a growing field, one that a lot of programmers want to spend their time on. But even though this sounds like a complicated part of technology to work with, you will find that with the help of the Python coding language, anyone can start writing their own codes in machine learning. This guidebook is going to take a look at all of the different topics that you need to know in order to get started with Python machine learning. Some of the topics that we will explore inside include: The basics of machine learning The difference between supervised and unsupervised machine learning. Setting up your new environment in the Python language. Data preprocessing with the help of machine learning. How to use Python coding to help with linear regression. Decision trees and random forests. How to work with support vector regression problems. Can machine learning really help with Naïve Bayes problems? Accelerated data analysis using the Python code. And so much more! If you have been interested in learning more about machine learning, and you want to be able to learn a few of the codes that can make it happen for you, make sure to check out this guidebook to help you get started! If all of this sounds like your ideal audiobook, then get it now! Well, stress no more!
©2019 Django Smith (P)2019 Django Smith
Artificial Intelligence
Summary
Do you want to discover what artificial intelligence is and how it will change our life, our business, our health in the future? If yes, keep listening.... What comes to your mind when you hear the phase: artificial intelligence? Perhaps, you think of a science fiction film by the likes of Orson Scott Card or other famous authors. Maybe you're thinking of Disney's Transformers or Wall-E. The Disneyization of AI made it seem like it was a world of pure fantasy that exists only in the human imagination. However, the reality is that we are not far from using AI in everyday life. Our use of AI continues to increase over the years. As we use Amazon, streaming music devices, and other AI that predict our choices, we realize that machines and technology are starting to permeate every aspect of our existence. Basically, artificial intelligence is totally changing our lives and this is the time to be ready for this technological revolution and make the most of it. In this bundle, you will find: Artificial intelligence for beginners: You will learn the basics of artificial intelligence and how to put it into practice in your everyday life. Artificial intelligence for business: You will find helpful and concise chapters on AI topics, which can be applied to the business. The chapters draw upon real-life experiences and sources that can help you to grow your business. Machine learning for beginners: You will understand what machine learning is, how it works, and how is correlated to artificial intelligence and deep learning. Machine .earning and artificial intelligence: In this final part, you will find a broad overview of these technologies and the answers to the most frequently asked questions: Will artificial intelligence change our privacy? Is artificial intelligence dangerous? Will humans and Artificial Intelligence live together in the future? This bundle is all you need to discover the world of artificial intelligence. What are you waiting for? Buy your audiobook now!
©2020 Chris Neil (P)2020 Chris Neil
The (Neo) Singularity Is Here!: Volume 1: The AI Question
Summary
For the past decade or more, experts in artificial intelligence (AI) have been concerned with the advent of "the Singularity", that moment when machine intelligence equals and then rapidly surpasses human capabilities. In the first volume of his book on this topic, Frank White argues that a version of the Singularity may have already taken place (the Neosingularity). While we have been looking at the future, we have perhaps ignored the need to make AI policy in the present.
©2018 William Frank White (P)2019 William Frank White
Secrets of Business Math Using Excel!
Summary
In the business world today, Microsoft Excel is a common spreadsheet program that is being used for almost everything from tracking employers wages to tracking accounts. The importance of Excel to business math can't be overemphasized. If you are going to run your own business efficiently or simply work at the front desk as an administrative assistant, you will realize that one of the useful programs you need to be familiar with is Excel. This means if you are learning business math you will probably need to be proficient in using Excel. To help you out and relieve you of any trouble you can encounter when learning business math using Excel we have come up with a powerful product titled Secrets of Business Math Using Excel. You might probably be wondering if our incredible short book is really worth a buy. OMG! You will be surprised to see the benefits you will enjoy by buying this book. Let's take a quick look at some of the benefits you can derive from it. You will learn about the traditional method of calculating You will learn the latest functions of Excel while refining your math abilities You will have the opportunity to put what you have heard into practice because our book does not take too much to listen to Each paragraph anticipates any likely questions that might be bothering you about how to use Excel for business math These and many more benefits are waiting for you. You don't have to drain your pocket or bank before getting this book. It is affordable and suitable for all pockets. You can save $1000 by buying this book. Isn't it amazing? No doubt, the result you will get from this book is worth more than its price. We cannot argue the fact that this incredible and powerful product might not contain comprehensive information about Excel for business math. Our primary goal is to make sure you have a good knowledge of the secrets of business math using Excel, and put them to practice and obtain the necessary growth in your business. The more you delay buying and making use of the secrets in this book the more you are liable to be behind while your competitors stay ahead. Why not purchase this winning book when you can?
©2017 Andrei Besedin (P)2018 Andrei Besedin
Artificial Intelligence and Machine Learning for Business
Summary
Are you thinking about implementing artificial intelligence and machine learning in your business, but you have no concrete idea how to do so? Artificial intelligence and the field of machine learning are growing exponentially, and with the help of this audiobook, there are endless possibilities of what you will be able to do with them! This guidebook is going to take a closer look at how artificial intelligence and machine learning are able to work for businesses, as well as how you can use some of the tips and techniques that come with these processes for your own needs. Some of the topics that we will explore when we go through this audiobook will include: The basics of artificial intelligence (AI) and machine learning (ML) How to be prepared for the challenges to face when using artificial intelligence and machine learning How ML can enhance the competitiveness of any business A step-by-step method to develop AI and ML projects and to build an enterprise’s strategy If you want to find out how to boost your business with the new technologies, get this audiobook.
©2019 Scott Chesterton (P)2019 Scott Chesterton
Python Machine Learning
Summary
There are so many resources available that you can use to advance your knowledge and Python Machine Learning: A Comprehensive Beginners Guide to Learn Python Machine Learning from A-Z is one of the most comprehensive audiobooks you can ever have. Trust me, there are so many generic books available online and you might just get mixed up with the information provided, not because they are not correct, but because they have not been structured for a beginner to easily understand and apply. This audiobook will guide you in a stepwise manner from the basic syntax to applying that into actual data analysis. Here's just some of the things you can expect from this Python audiobook: Learn the various functions of Python Learn about the Preferred Installer Program or PIP Learn how to organize your Python code Tutorials apply to Windows, macOS and Linux users! Lots of sample code to play around with! Once you have listened to this audiobook, you will be more than ready to start creating your own projects, which is a great way to learn and apply the knowledge you have acquired here.
©2019 Alexander Bold (P)2019 Alexander Bold
Artificial Intelligence for Beginners
Summary
Do you want to learn a modern approach to artificial intelligence the basics of AI and how to put it into practice? If yes, then keep reading... The basic concept of artificial intelligence is quite easy to understand because it's in the name. Artificial intelligence is intelligence that has been created by hand and not...? Artificial intelligence is intelligence that is not like real intelligence? Artificial intelligence is a machine attempting to emulate biological intelligence? Actually, the concept of artificial intelligence is quite difficult to nail down to a specific definition. All right, the basic way that we understand artificial intelligence is an intelligence that is produced by a machine. This has been the standard definition for about a century. The reason why it is difficult to conceptualize a specific definition of artificial intelligence is that of how blurred the line is between biological intelligence and mechanical intelligence.This book aims to provide examples of the ways that the development and adaptation of artificial intelligence will open up new opportunities and challenges to both the business world and society, as a whole. For this reason, you won’t find a lot of detailed explanations of the technical aspects of AI here. However, at the end of this book, you can research other resources that you can consult if you’d like to dive deeper into the technical world of artificial intelligence.The idea that computers or software programs can both learn and make decisions is particularly significant and something that we should be aware of, as their processes are growing exponentially over time. Because of these two skills, AI systems can now accomplish many of the tasks that were once reserved for humans. AI-based technologies are already being used to help humans benefit from significant improvements and increased efficiency in nearly every area of life. As the development of AI continues to grow, it will change the ways we live and work more and more. Another benefit of AI is that it allows machines and robots to perform tasks that humans consider to be difficult, boring, or dangerous. In turn, this will enable humankind to do things that were once thought impossible. One drawback to AI technologies is that machines will also be able to perform many tasks that currently require a human touch, which will significantly disrupt the labor market. AI also has the potential to cause political power struggles. We’ll cover lots of these topics in the chapters of this book. This audiobook gives comprehensive information on the following: What is artificial intelligence? The history of AI Essentials of data Artificial intelligent systems Chatbots Robotics Speech recognition AI FAQs AI myths Future prospects And much more! AI can be applied to just about every situation and offers the possibility of transforming our experiences, making things better and more effective. What are you waiting for? Click on the "buy now" button.
©2020 Chris Neil (P)2020 Chris Neil
Machine Learning
Summary
If you're at the beginner's stage and are looking to gain new knowledge about machine learning, then keep reading.... Do not listen to this audiobook if you're looking for a boring textbook containing a lot of dry math and programming lingo. Every day, someone is giving up on learning about machine learning. Many people miss out on furthering their career, and perhaps even the progress of our species without even realizing You see, most beginners make the same mistakes when first delving into the topic of machine learning. They start off with a resource containing too many unrelatable facts, math, and programming lingo that will put them to sleep rather than ignite their passion. But that is all about to change. This new book on machine learning will explain the concepts, methods, and history behind machine learning, including how our computers became vastly more powerful but infinitely less intelligent than ever before and why every tech company and their grandmother want to keep track of us 24/7, siphoning data points from our electronic devices to be crunched by their programs that then try to become virtual crystal balls, predicting our thoughts before we even have them. Most of the book seems like science-fiction because, in a sense, it is, far beyond what an average person would be willing to believe is happening. Here are some of the topics that are discussed in this book: What machine learning is What the point of machine learning is History of machine learning Neural networks Matching the human brain Artificial Intelligence AI in literature Talking, walking robots Self-driving cars Personal voice-activated assistants Data mining Social networks And much more! Listen now to learn more!
©2018 Herbert Jones (P)2018 Herbert Jones
Data Science from Scratch
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 Science for Business
Summary
Do you want to learn about data science but aren't in the mood to read a boring textbook? This data science audiobook could be the answer for which you're looking.... Data science has a huge impact on how companies conduct business, and those who don't learn about this revolutionary field could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers. It is all done by collecting and sorting through a large amount of information so you have the right sources behind you when you make a major decision. In this guidebook, you will discover more about data science and how to get started in this field. This audiobook will discuss the following topics: What is data science? How big data works and why it is so important How to do an explorative data analysis Working with data mining How to mine text to get the data Some amazing machine-learning algorithms to help with data science How to do data modeling Data visualization How to use data science to help your business grow Tips to help you get started with data science And much, much more! So if you are ready to get started with data science, listen to this audiobook now!
©2018 Herbert Jones (P)2018 Herbert Jones
Algorithms
Summary
If you are interested in learning about artificial intelligence, machine learning, and their potential consequences and how they will shape the world around us, then Algorithms: The Humans in the Age of AI. Programming, Security, Python, Hacking, Cyberwar and Machine Learning. The Future of Technology Explained by the Superpowers of China and Silicon Valley in the right book for you. Although artificial intelligence and machine learning algorithms have been here with us for long, the ability to apply big data and make mathematical calculations even faster is a recent phenomenon. This book enlightens you on how the two technological developments have been able to speed up the process of economic growth and career advancement. To that end, this book provides an in-depth overview of artificial intelligence and machine learning, highlighting their historical development and application in various fields including finance, business, cyber-security and medicine. This audiobook covers the most important topics of this new era - how artificial intelligence interacts with human intelligence, including the possible partnerships between humans and machines and how each influences the other. People can utilize so much from artificial intelligence and machine learning to improve their lives and enhance their productivity. An interesting concept covered in this book is the AI superpowers across the world and how they impact the development of AI today and, possibly, in the future. These include Amit Singhal of Uber, Andrew Ng of Baidu, Elon Musk of SpaceX and Tesla, among others. You will find a trove of information that will help you further your understanding of the world artificial intelligence, hacking, data and the internet of things.
©2020 Jeff Mc Frockman (P)2020 Jeff Mc Frockman
Python Data Science: The Utimate Crash Course for Beginners. Learn Python in a Week and Master It.
Summary
Have you ever wondered if there is a method to learn Python in less than a week? Most probably yes, but...there is a “secret” formula to get it done. That’s right, Python is friendly language, but you need to learn it the right way. Especially if you want to start learning dozens of different methods to launch your career as a Python programmer. Correct, you can’t afford to wait months, or even years to learn a new language. However, that’s not a big issue anymore, we’ve got you covered on this. Today, you can get the ultimate masterclass: Python Data Science. The brand new crash course for beginners that will make you a Python master in less than a week. Ready to get started? There is much more waiting for you... Get the fundamentals - You’ll learn it all from scratch, there is no need to have any previous knowledge to get started. Theory goes first. Browse through the methods - Data science and management is a complicated thing, but we’ve simplified it all for you: in easy methods. Prepare to launch - There is no time to waste, you’ll be prepared to launch your career in less than a week. Becoming a programmer is something only a few accomplish. Yet, that’s only because they didn’t get the right preparation. But those times are over. It’s much better if you start doing it by easy, working, and steady methods. Get this audioboob today, and let’s discover a brand-new way to become a programmer: The right way.
©2020 Press Computer Programming (P)2020 Press Computer Programming