This is the supporting wiki for the book The Hundred-Page Machine Learning Book by Andriy Burkov. The book is now available on Amazon and most major online bookstores.
WARNING! To avoid buying counterfeits on Amazon, click on See All Buying Options and choose Sold by Amazon.com and not a third-party seller. But better, avoid Amazon by all means. The best way to make sure the author receives a fair part of your money is to buy an e-book on Leanpub.
The wiki contains pages that extend some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.
This book is distributed on the “read first, buy later” principle. I strongly believe that paying for the content before consuming it is buying a pig in a poke. You can see and try a car in a dealership before you buy it. You can try on a shirt or a dress in a department store. You have to be able to read a book before paying for it.
The read first, buy later principle implies that you can freely download the book, read it and share it with your friends and colleagues. If you liked the book, only then you have to buy it.
Enjoy your reading!
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Released Drafts of the Chapters
- Chapter 1: Introduction
Part I: Supervised Learning
- Chapter 2: Notation and Definitions
- Chapter 3: Fundamental Algorithms (plus in-depth material)
- Chapter 4: Anatomy of a Learning Algorithm
- Chapter 5: Basic Practice (plus in-depth material)
- Chapter 6: Neural Networks and Deep Learning (plus in-depth material)
- Chapter 7: Problems and Solutions
- Chapter 8: Advanced Practice
Part II: Unsupervised and Other Forms of Learning
- Chapter 9: Unsupervised Learning (plus in-depth material)
- Chapter 10: Other Forms of Learning
- Chapter 11: Conclusion and additional reading
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WARNING! To avoid buying counterfeit on Amazon, click on See All Buying Options and choose Amazon.com and not a third-party seller.
