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Title Machine Learning for Absolute Beginners
Author Oliver Theobald
Publisher
Release 2021
Category
Total Pages 180
ISBN
Language English, Spanish, and French
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Book Summary:

Featured by Tableau as the first of "7 Books About Machine Learning for Beginners." Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?Well, hold on there...Before you embark on your journey, there are some high-level theory and statistical principles to weave through first. But rather than spend $30-$50 USD on a thick textbook, you may want to read this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations. Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along at home.This new edition also features extended chapters with quizzes, free supplementary online video tutorials for coding models in Python, and downloadable resources not included in the Second Edition. Readers of the Second Edition should not feel compelled to purchase this Third Edition.Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment - as a fully grown Simba looking over the Pride Lands of Africa - then this is the book to gently hoist you up and give a clear lay of the land.In this step-by-step guide you will learn: - How to download free datasets- What tools and machine learning libraries you need- Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data- Preparing data for analysis, including k-fold Validation- Regression analysis to create trend lines- k-Means Clustering to find new relationships- The basics of Neural Networks- Bias/Variance to improve your machine learning model- Decision Trees to decode classification, and- How to build your first Machine Learning Model to predict house values using PythonFrequently Asked QuestionsQ: Do I need programming experience to complete this e-book?A: This e-book is designed for absolute beginners, so no programming experience is required. However, two of the later chapters introduce Python to demonstrate an actual machine learning model, so you will see some programming used in this book. Q: I have already purchased the Second Edition of Machine Learning for Absolute Beginners, should I purchase this Third Edition?A: As the same topics from the Second Edition are covered in the Third Edition, you may be better served reading a more advanced title on machine learning. If you have purchased a previous edition of this book and wish to get access to the free video tutorials, please email the author. Q: Does this book include everything I need to become a machine learning expert?A: Unfortunately, no. This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master machine learning.

Title Machine Learning for Absolute Beginners
Author Oliver Theobald
Publisher Independently Published
Release 2018
Category Computer algorithms
Total Pages 160
ISBN 9781549617218
Language English, Spanish, and French
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Book Summary:

"The manner in which computers are now able to mimic human thinking to process information is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the modern age of machine learning, computers do not strictly need to receive an 'input command' to perform a task, but rather 'input data'. From the input of data they are able to form their own decisions and take actions virtually as a human world. But given it is a machine, it can consider many more scenarios and execute far more complicated calculations to solve complex problems. This is the element that excites data scientists and machine learning engineers the most. The ability to solve complex problems never before attempted. This book will dive in to introduce machine learning, and is ideal for beginners starting out in machine learning."--page 4 of cover.

Title Machine Learning for Absolute Beginners
Author Ryan Hill
Publisher Independently Published
Release 2018-11-13
Category
Total Pages 186
ISBN 9781731249746
Language English, Spanish, and French
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Book Summary:

MACHINE LEARNING FOR ABSOLUTE BEGINNERS ★★★ Buy the Paperback version of this book, and then get the Kindle Ebook version included for FREE ★★★ Do you want to know about Machine Learning even as a beginner? You have come to the right placeMachine learning is one of the hottest topics in this century - for good reasons. A neural network is often mentioned but covers only a small part of machine learning. There is much more to explore. There are a lot of interested people out there but many do not know where to start. The difficult question basically is how to start actually learning it?Especially beginners might get discouraged because of statistics and math which is an integral part of machine learning. None the less you do not need to be a math expert to apply machine learning. This machine learning course is here to show you why.Instead of telling you all the statistics and math behind the Algorithms, I prefer to give you a much more hands on approach. At the end of the day there's only one thing that really counts - THE RESULT. What you will learn Introduction to Machine LearningWhat is Machine Learning... And why should we care?The 6 Steps of Machine LearningWhat neural networks have to do with machine learningWhat neural networks have to do with deep learning?What machine learning algorithms can doThe different machine learning applications and their disadvantages and advantagesWhat machine learning have in store for us?How Machine Learning is Fighting Cancer Who is the target audience? Beginners in machine learningPeople who like a hands-on approach and not only watchingPeople who prefer practice instead of theoryAll people who want to dive into one of the hottest topics out there but do not know where to startYou want to take advantage of the data driven opportunity ahead Don't wait any longer! Scroll up and click the BUY NOW button to begin the journey of learning machine learning even as an absolute ML beginner!

Title Machine Learning for Beginners
Author Daniel Géron
Publisher
Release 2021-02-19
Category
Total Pages 146
ISBN 9781801943994
Language English, Spanish, and French
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Book Summary:

What is machine learning? How machine learning works? Should I use a machine learning model or another approach to solve my problem? How do I implement machine learning to my problem? What are the machine learning methods I can use for my problem? How do I know my machine learning model is efficient? Are you wondering all these questions and hesitate on how to start with machine learning? The object of this book is to answer all of these questions. This book will give an initiation to machine learning methods. In fact, this book will give the very fundamental concepts of machine learning methods with no pre-requisite skills. Machine learning include is a large domain of research and have different branches. This book will teach the concepts of machine learning in general and also how to use artificial neural networks. By acquiring the skills presented in this book, we will be able to decide if machine learning is suited to solve your problem. You will also be able to make a judgement on the best way to implement a machine learning model to solve the problem you have in hand. By reading this book you will learn: - The general concept of machine learning - When to use and when to avoid machine learning - The 4 main types of machine learning - When to use each type of machine learning - The general concept of artificial neural networks - Activation function in artificial neural network and to choose an activation function within an artificial neural network - The 5 main types of artificial neural network - The best function to be used to train artificial neural networks. - the 2 main concepts to know in the training process of the artificial neural network - the main variants and algorithms for the formation of an artificial neural network and a machine learning model in general. Even you don't have any mathematical background or a statistical skill, this book will help you develop a sound understanding of machine learning methods and artificial neural networks.

Machine Learning by Hein Smith

Title Machine Learning
Author Hein Smith
Publisher Createspace Independent Publishing Platform
Release 2018-06-29
Category
Total Pages 50
ISBN 9781722120566
Language English, Spanish, and French
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Book Summary:

Just about anyone with the slightest bit of interest in modern technology is looking to learn more about Machine Learning. This innovative new form of computer programming is the primary tool that makes it possible for a machine to perform a wide range of tasks for you that could range from recommending a good movie to driving you to work every day. No doubt, it is the tech of the future. But it is also a subject that can literally boggle the mind. If you're not already deep into the terminology and techniques of this wildly exciting new industry, finding information on it written in basic layman's terms can be tough. Most of the books on the topic assume that you have at least a fundamental knowledge of the subject. If you're interested in getting a better grasp at just how this new technology works and what it means for the masses then this is the book for you. Here you will learn: what Machine learning truly is What are Neural networks How it applies to Deep Learning What are algorithms and how are they used And some of the many applications that Machine learning is already using All of it in very basic simple English so you won't need a special coding degree to understand it. Here, we discuss all the basic entry-level topics needed for the absolute amateur so you can start to make sense of this highly innovative technological advancement. Machine Learning is becoming an increasingly powerful tool that will have an impact on every aspect of our lives in the future. So, whether you need to find good product recommendations to meet your needs or you want to go all out and live in your own smart home, machine learning will be at the core of it. This book will make it easier to grasp the concepts behind it and get you started on a path that leads to a very bright future. If you're ready to have a tool that breaks down this complex topic in simple language then this is your chance. Download your copy now so you can get started on what is promising to be a most amazing future.

Title Machine learning for absolute beginners
Author Oliver Theobald
Publisher Independently Published
Release 2017-04-03
Category Computer algorithms
Total Pages 168
ISBN 9781520951409
Language English, Spanish, and French
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Book Summary:

"The manner in which computers are now able to mimic human thinking to process information is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the modern age of machine learning, computers do not strictly need to receive an 'input command' to perform a task, but rather 'input data'. From the input of data they are able to form their own decisions and take actions virtually as a human world. But given it is a machine, it can consider many more scenarios and execute far more complicated calculations to solve complex problems. This is the element that excites data scientists and machine learning engineers the most. The ability to solve complex problems never before attempted. This book will dive in to introduce machine learning, and is ideal for beginners starting out in machine learning."--page 4 of cover.

Title Neuronale Netze Selbst Programmieren
Author Tariq Rashid
Publisher
Release 2017
Category
Total Pages 232
ISBN 9781492064046
Language English, Spanish, and French
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Book Summary:

Neuronale Netze sind Schlüsselelemente des Deep Learning und der Künstlichen Intelligenz, die heute zu Erstaunlichem in der Lage sind. Dennoch verstehen nur wenige, wie Neuronale Netze tatsächlich funktionieren. Dieses Buch nimmt Sie mit auf eine unterhaltsame Reise, die mit ganz einfachen Ideen beginnt und Ihnen Schritt für Schritt zeigt, wie Neuronale Netze arbeiten. Dafür brauchen Sie keine tieferen Mathematik-Kenntnisse, denn alle mathematischen Konzepte werden behutsam und mit vielen Illustrationen erläutert. Dann geht es in die Praxis: Sie programmieren Ihr eigenes Neuronales Netz mit Python und bringen ihm bei, handgeschriebene Zahlen zu erkennen, bis es eine Performance wie ein professionell entwickeltes Netz erreicht. Zum Schluss lassen Sie das Netz noch auf einem Raspberry Pi Zero laufen. - Tariq Rashid hat eine besondere Fähigkeit, schwierige Konzepte verständlich zu erklären, dadurch werden Neuronale Netze für jeden Interessierten zugänglich und praktisch nachvollziehbar.

Machine Learning by Burton Hay

Title Machine Learning
Author Burton Hay
Publisher
Release 2021-03-26
Category
Total Pages 78
ISBN
Language English, Spanish, and French
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Book Summary:

With the development of technology, Machine Learning is a necessary field to comprehend with everyone who studies AI Technology. Many learners are still perplexed about machine learning projects. But don't worry, this machine learning for the absolute beginner's book will help you. The bookis easy to understand and put in a relatively simple manner for easy flow and understanding for professionals and beginners Here is the preview of what you'll learn: The introduction to Machine learning Programming Languages Neural Networks Random Forest Decision Trees Machine Learning Models To Know Applications of Machine Learning

Machine Learning For Beginners by Scott Chesterton

Title Machine Learning For Beginners
Author Scott Chesterton
Publisher
Release 2019-07-19
Category
Total Pages 150
ISBN 9781081534059
Language English, Spanish, and French
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Book Summary:

**Buy the paperback version of this book and get the kindle book version for FREE** People often gets confused by words like Machine Learning, Artificial Intelligence or Deep Learning. Raise Your hand if you are among them. I'm sure that you heard several times people talking about machine learning but you only have a vague idea of what it is, isn't it? Don't worry, you are not the only one. This book is here to help those readers who want to understand machine learning in a simple language. By reading Machine Learning for beginners you will probably not become a pro in this field but you will no longer be a novice and that's for sure! With Machine Learning for beginners you will discover: The basics of Machine Learning in detail with daily life examples; The different algorithm models and computing software platforms used in Machine Learning and their practical applications; How Machine Learning applications affect in the real-world and in different fields. Interesting notes on artificial intelligence and deep learning to better understand these new crucial technologies. If you have no technical background but you are willing to get familiar with machine learning basics, scroll up to the page and push the BUY now button.

Machine Learning by Alexa Philips

Title Machine Learning
Author Alexa Philips
Publisher Createspace Independent Publishing Platform
Release 2017-11-13
Category Artificial intelligence
Total Pages 98
ISBN 9781979620192
Language English, Spanish, and French
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Book Summary:

Machine Learning for Absolute Beginners Sale price. You will save 66% with this offer. Please hurry up! The Ultimate Beginners Guide for Algorithms, Neural Networks, Random Forests and Decision Trees If you are searching for a book on Machine Learning that is easy to understand and put in a relatively simple manner for easy flow and understanding for professionals and beginners. And you're the type that has a second thought about machine learning mathematics, then you need to read this book. It is well explanatory and contains essential information about Machine Learning without any complex mathematics but with great understanding. Here is a preview of what you'll learn: The introduction to Machine learning - An Informative write up on Artificial Intelligence Algorithms in Machine Learning A simple way to understand Decision trees Random Forest and how it works Neural Network Download your copy of "Machine Learning for Absolute Beginners" by scrolling up and clicking "Buy Now With 1-Click" button. Tags: Machine Learning, Machine Learning Algorithms, Algorithms, Neural Networks, Random Forests, Decision Trees Machine, Machine Learning Course, Big Data Machine Learning, Machine Learning For Dummies, Machine Learning Big Data, Machine Learning Tools, Machine Learning Basics, Machine Learning Online Course, Learn Machine Learning, Machine Learning As A Service, Cloud Machine Learning, Big Data And Machine Learning, Machine Learning And Big Data, Machine Learning Algorithms For Beginners, Machine Learning Platform, Data Science, Machine Learning Big Data Analytics, Machine Learning Companies, Ai Machine Learning, Machine Learning Cloud, Machine Learning Services

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