The Hundred-Page Machine Learning Book Av Andriy Burkov

<p><strong>Peter Norvig</strong><span>, Research Director at Google, co-author of </span><strong>AIMA</strong><span>, the most popular AI textbook in the world: </span><em>"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 is the first 100 (or actually 150) pages you will read, not the last, provides a solid introduction to the field."</em></p><p><br></p><p><strong>Aurélien Géron</strong><span>, Senior AI Engineer, author of the bestseller </span><strong>Hands-On Machine Learning with Scikit-Learn and TensorFlow</strong><span>: </span><em>"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."</em></p><p><br></p><p><strong>Karolis Urbonas</strong><span>, Head of Data Science at </span><strong>Amazon</strong><span>: </span><em>"A great introduction to machine learning from a world-class practitioner."</em></p><p><br></p><p><strong>Chao Han</strong><span>, VP, Head of R&D at </span><strong>Lucidworks</strong><span>: </span><em>"I wish such a book existed when I was a statistics graduate student trying to learn about machine learning."</em></p><p><br></p><p><strong>Sujeet Varakhedi</strong><span>, Head of Engineering at </span><strong>eBay</strong><span>: </span><em>"Andriy''s book does a fantastic job of cutting the noise and hitting the tracks and full speed from the first page.''''</em></p><p><br></p><p><strong>Deepak Agarwal</strong><span>, VP of Artificial Intelligence at </span><strong>LinkedIn</strong><span>: </span><em>"A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time.''''</em></p><p><br></p><p><strong>Gareth James</strong><span>, Professor of Data Sciences and Operations, co-author of the bestseller </span><strong>An Introduction to Statistical Learning, with Applications in R</strong><span>: </span><em>"I would highly recommend "The Hundred-Page Machine Learning Book" for both the beginner looking to learn more about machine learning and the experienced practitioner seeking to extend their knowledge base."</em></p>