The Best Machine Learning Model Books for Beginners

As its title says, it's the hundred-page machine learning book. It was written by an expert in machine learning holding a Ph.D. in Artificial Intelligence with almost two decades of industry experience in computer science and hands-on machine learning. This is a unique book in many aspects. It is the first successful attempt to write an easy to read book on machine learning that isn't afraid of using math. It's also the first attempt to squeeze a wide range of machine learning topics in a systematic way and without loss in quality.

The book contains only those parts of the huge body of material on machine learning developed since the 1960s that have proven to have a significant practical value. A beginner in machine learning will find in this book just enough details to get a comfortable level of understanding of the field and start asking the right questions. Practitioners with experience will use this book as a collection of pointers to the directions of further self-improvement. The book also comes in handy when brainstorming at the beginning of a project, when you try to answer the question whether a given technical or business problem is "machine-learnable" and, if yes, which techniques you should try to solve it. The book comes with a wiki which contains pages that extend some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources. Thanks to the continuously updated wiki this book like a good wine keeps getting better after you buy it.

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. New Updated Edition. This new edition features extended chapters with quizzes, free supplementary online video tutorials for coding models in Python, and downloadable resources not included in the Second 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 Python. Frequently Asked Questions. Q: 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. Please feel welcome to join this introductory course by buying a copy, or sending a free sample to your chosen device.

Are you wondering how to enhance your Python skills and have a thorough understanding of Neural Networks, Artificial Intelligence, and Data Science, even if you don’t know much (or nothing at all) about it? If the answer is “YES”, then keep reading, because this collection of 4 books has been crafted for you! Here is a tiny fraction of what you will learn:.

Practical codes and exercises to use Python that you can easily use to practice your skills and that you can test and tweak to your heart’s contentWhat Machine Learning is, and what are its concepts & terms, so that you can have full knowledge on the subject and be sure to easily understand and learn every argument and skill related to this topicHow to work with Python for Data Science, to be effectively able to use this user-friendly language and its easy-to-understand syntax for Data Science in a very effortless and quick way that even a beginner would understandWhat are the best, essential libraries for Machine Learning in Python, so you can have access to the best and most-useful functions without the need of writing specific codes from scratchWhat is the Tensorflow library and how it works, so to understand everything regarding this library created by Google and effectively create and train Deep Learning models using PythonThe topnotch Data Mining techniques in Data Science, to always get the most out of your data gathering process, thanks to a complete section that will show you what are the best ways to maximize the value of data investmentsAnd much more! These beginner-friendly books were written specifically to make you able to master Python, Machine Learning and Data Science from scratch, and they can inevitably put you in front of new, highly paid career options, so…. Don’t wait anymore! Scroll to the top of the page and click “Buy Now” to learn everything about this constantly evolving field.