دانلود کتاب The Hundred-Page Machine Learning Book – کتاب یادگیری ماشین صد صفحه ای

Peter Norvig , Research Director at Google, co-author of AIMA , the most popular AI textbook in the world: ‘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.’

Aurlien Gron , Senior AI Engineer, author of the bestseller Hands-On Machine Learning with Scikit-Learn and TensorFlow : ‘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.’

Karolis Urbonas , Head of Data Science at Amazon : ‘A great introduction to machine learning from a world-class practitioner.’

Chao Han , VP, Head of R&D at Lucidworks : ‘I wish such a book existed when I was a statistics graduate student trying to learn about machine learning.’

Sujeet Varakhedi , Head of Engineering at eBay : ‘Andriy’s book does a fantastic job of cutting the noise and hitting the tracks and full speed from the first page.”

Deepak Agarwal , VP of Artificial Intelligence at LinkedIn : ‘A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time.”

Vincent Pollet , Head of Research at Nuance : ‘The Hundred-Page Machine Learning Book is an excellent read to get started with Machine Learning.”

Gareth James , Professor of Data Sciences and Operations, co-author of the bestseller An Introduction to Statistical Learning, with Applications in R : ‘This is a compact how to do data science manual and I predict it will become a go-to resource for academics and practitioners alike. At 100 pages (or a little more), the book is short enough to read in a single sitting. Yet, despite its length, it covers all the major machine learning approaches, ranging from classical linear and logistic regression, through to modern support vector machines, deep learning, boosting, and random forests. There is also no shortage of details on the various approaches and the interested reader can gain further information on any particular method via the innovative companion book wiki. The book does not assume any high level mathematical or statistical training or even programming experience, so should be accessible to almost anyone willing to invest the time to learn about these methods. It should certainly be required reading for anyone starting a PhD program in this area and will serve as a useful reference as they progress further. 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.’

Everything you really need to know in Machine Learning in a hundred pages.

پیتر نورویگ، مدیر تحقیقات Google، نویسنده مشترک AIMA، محبوب‌ترین کتاب درسی هوش مصنوعی در جهان: ‘Burkov یک کار بسیار مفید اما غیرممکن برای کاهش کل یادگیری ماشینی به 100 صفحه انجام داد. او به خوبی در انتخاب موضوعات تئوری و عملی که برای تمرین‌کنندگان مفید خواهد بود، موفق است، و برای خواننده‌ای که می‌داند این 100 صفحه اول (یا در واقع 150) صفحه‌ای است که می‌خوانید، نه آخرین، مقدمه‌ای محکم برای زمینه.’

Aurlien Gron، مهندس ارشد هوش مصنوعی، نویسنده کتاب پرفروش آموزش دستی ماشین با Scikit-Learn و TensorFlow > : ‘وسعت موضوعاتی که کتاب پوشش می دهد برای تنها 100 صفحه شگفت انگیز است (به علاوه چند صفحه جایزه!). بورکوف از رفتن به معادلات ریاضی ابایی ندارد: این چیزی است که معمولاً کتاب‌های کوتاه آن را کنار می‌گذارند. من واقعاً دوست داشتم که نویسنده چگونه مفاهیم اصلی را تنها در چند کلمه توضیح می دهد. این کتاب می تواند برای تازه واردان در این زمینه و همچنین برای افراد قدیمی که می توانند از چنین دیدگاه گسترده ای از این حوزه بهره ببرند بسیار مفید باشد.’

Karolis Urbonas< /strong>، رئیس بخش علوم داده در Amazon: “مقدمه ای عالی برای یادگیری ماشین از سوی یک متخصص در سطح جهانی.”