This long-awaited day has finally come and I’m proud and happy to announce that The Hundred-Page Machine Learning Book is now available to order in a high-quality color paperback edition as well as a Kindle edition.
For three months, I worked hard to write a book that will make a difference. I firmly believe that I succeeded.
I’m so sure about that because I received dozens of positive feedback. Both from readers who just start in artificial intelligence and from respected industry leaders. I’m extremely proud that such best-selling AI book authors and talented scientists as Peter Norvig and Aurélien Géron endorsed my book and wrote the texts for its back cover and that Gareth James wrote the Foreword.
This book wouldn’t be of such high quality without the help of volunteering readers who sent me hundreds of text improvement suggestions. The names of all volunteers can be found in the Acknowledgments section of the book.
From the Back Cover
“Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages. He succeeds well in choosing the topics–both theory and practice–that will be useful to practitioners, and for the reader who understands that this as the first 100 (or actually 150) pages you will read, not the last, provides a solid introduction to the field.” — Peter Norvig, Research Director at Google, author of the best-selling textbook Artificial Intelligence: A Modern Approach
“The breadth of topics the book covers is amazing for just 100 pages (plus few bonus pages!). Burkov doesn’t hesitate to go into the math equations: that’s one thing that short books usually drop. I really liked how the author explains the core concepts in just a few words. The book can be very useful for newcomers in the field, as well as for old-timers who can gain from such a broad view of the field.” — Aurélien Géron, Senior AI Engineer, author of the bestseller Hands-On Machine Learning with Scikit-Learn and TensorFlow
About the Author
Andriy Burkov holds a PhD in Artificial Intelligence, he works as a senior data scientist and machine learning team leader at Gartner.