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Peter Norvig, Analysis Director at Google, co-writer of AIMA, the preferred AI textbook on this planet: “Burkov has undertaken an excessively helpful however impossibly laborious process in decreasing all of Device Finding out to 100 pages. He succeeds neatly in opting for the themes — each idea and follow — as a way to be helpful to practitioners, and for the reader who is aware that that is the primary 100 (or in truth one hundred fifty) pages you’re going to learn, now not the remaining, supplies a superior Advent to the sector.”
Aurélien Géron, Senior AI Engineer, writer of the bestseller Hands-On Device Finding out with Scikit-Be informed and TensorFlow: “The breadth of subjects the Ebook covers is fantastic for simply 100 pages (plus few bonus pages!). Burkov does not hesitate to enter the mathematics equations: that is something that brief books on a regular basis drop. I in reality preferred how the writer explains the center ideas in only a few phrases. The Ebook can also be very helpful for learners within the box, in addition to for antique-timers who can acquire from this kind of huge view of the sector.”
Karolis Urbonas, Head of Knowledge Technological know-how at Amazon: “A super Advent to Device Finding out from an international-elegance practitioner.”
Chao Han, VP, Head of R&D at Lucidworks: “I want this kind of Ebook existed whilst I used to be a facts graduate scholar attempting to be told approximately Device Finding out.”
Sujeet Varakhedi, Head of Engineering at eBay: “Andriy’s Ebook does an improbable activity of reducing the noise and hitting the tracks and entire velocity from the primary Web page.”
Deepak Agarwal, VP of Synthetic Intelligence at LinkedIn: “A fantastic Ebook for engineers who wish to include ML of their day by day paintings with out essentially spending a huge period of time.”
Vincent Pollet, Head of Analysis at Nuance: “The Hundred-Web page Device Finding out Ebook is a superb learn to get began with Device Finding out.”
Gareth James, Professor of Knowledge Sciences and Operations, co-writer of the bestseller An Advent to Statistical Finding out, with Programs in R: “It is a compact “easy methods to do Knowledge Technological know-how” handbook and I are expecting it is going to turn out to be a move-to useful resource for teachers and practitioners alike. At 100 pages (or somewhat extra), the Ebook is brief sufficient to learn in one sitting. But, in spite of its period, it covers the entire best Device Finding out strategies, starting from classical linear and logistic regression, via to up to date reinforce vector machines, deep Finding out, boosting, and random forests. There could also be no scarcity of main points at the more than a few strategies and the reader can acquire additional knowledge on any specific way by way of the leading edge better half Ebook wiki. The Ebook does now not suppose any top degree mathematical or statistical coaching and even programming enjoy, so must be out there to nearly any individual keen to take a position the time to be told approximately those strategies. It must without a doubt be required studying for any individual beginning a PhD software on this house and can function an invaluable reference as they growth additional. After all, the Ebook illustrates one of the vital algorithms the use of Python code, one of the vital widespread coding languages for Device Finding out. I might extremely counsel “The Hundred-Web page Device Finding out Ebook” for each the novice having a look to be told extra approximately Device Finding out and the skilled practitioner in the hunt for to increase their wisdom base.”
Everything you in reality want to realize in Device Finding out in 100 pages.
This is the primary of its type “learn first, purchase later” Ebook. You’ll in finding the Ebook on-line, learn it, after which come again to pay for it for those who preferred the Ebook or discovered it helpful on your paintings, industry or research.