Paperback #34;The Hundred-Page Machine Learning Book #34;. Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world: #34;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. #34; Aurélien Géron, Senior AI Engineer, author of the bestseller Hands-On Machine Learning with Scikit-Learn and TensorFlow: #34;The breadth of topics the book covers is amazing for just 100 pages (plus few bonus pages!). Burkov doesn #39;t hesitate to go into the math equations: that #39;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. #34; Finally, the book illustrates some of the algorithms using Python code, one of the most popular coding languages for machine learning. 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. #34; Everything you really need to know in Machine Learning in a hundred pages. Publisher : Andriy Burkov (January 13, 2019) Language : English Paperback : 160 pages Estimasi barang sampai paling cepat 2 minggu, paling lama 30 hari.