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Computer Science - The Hundred-Page Machine Learning Book

Description

Book Synopsis: 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.

Details

Are you ready to dive into the exciting world of machine learning? Look no further than The Hundred-Page Machine Learning Book! This groundbreaking book, written by a Ph.D. expert in artificial intelligence with years of industry experience, is a must-have for anyone interested in this rapidly growing field.

Unlike other machine learning books, this one is designed to be accessible and easy to understand, without sacrificing the important mathematical concepts. Whether you're a beginner or an experienced practitioner, you'll find the perfect balance of theory and practical application in this concise hundred-page gem.

What sets this book apart is its carefully curated content. It distills the most valuable and proven machine learning techniques from decades of research into a single volume. No longer will you have to sift through countless resources to find the information you need. This book gives you the essential knowledge to get started on your machine learning journey and guides you towards further self-improvement.

Need help figuring out if machine learning is the right approach for your project? The Hundred-Page Machine Learning Book is here to assist you. Its comprehensive approach provides valuable insights on the feasibility of applying machine learning to solve technical or business problems. You'll gain the expertise to make informed decisions and choose the right techniques to tackle any challenge.

We haven't mentioned the best part yet - the book comes with a constantly updated wiki! This wiki supplements the book with additional resources such as Q&A, code snippets, and further reading materials. It's like having a personal tutor guiding you through the complexities of machine learning. With each wiki update, the book keeps getting better and more valuable.

Don't miss out on this incredible opportunity to master machine learning. Start your journey today with The Hundred-Page Machine Learning Book. Click here to get your copy now!

Disclosure: I get commissions for purchases made through links in this website