The Hundred-Page Machine Learning Book (paperback)

Andriy Burkov



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."

Aurélien Géron, 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.''

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

This is the first of its kind "read first, buy later" book. You can find the book online, read it, and then come back to pay for it if you liked the book or found it useful for your work, business or studies.


Peter Norvig,Google的研究主管,也是《AIMA》的合著者,該書是全球最受歡迎的人工智慧教科書之一。他說:「Burkov在將機器學習壓縮成100頁的任務上承擔了一項非常有用但極其困難的任務。他在選擇主題(包括理論和實踐)方面非常成功,這對於從業人員和讀者來說非常有用。對於那些明白這是你將閱讀的第一百(或實際上是一百五十)頁,而不是最後一百頁的讀者來說,這本書提供了對這個領域的扎實介紹。」

Aurélien Géron,資深人工智慧工程師,暢銷書《Hands-On Machine Learning with Scikit-Learn and TensorFlow》的作者,他說:「這本書僅有100頁(加上一些額外頁面),涵蓋的主題廣泛令人驚訝。Burkov毫不猶豫地介紹了數學方程式,這是短書通常省略的一點。我真的很喜歡作者如何用簡短的文字解釋核心概念。這本書對於新手和老手都非常有用,他們可以從這樣一個廣泛的視角中獲益。」

Karolis Urbonas,亞馬遜的資料科學主管,他說:「這是一本由世界一流的從業者撰寫的機器學習入門書籍。」

Chao Han,Lucidworks的研發主管,他說:「當我還是統計學研究生時,我希望有這樣一本書可以幫助我學習機器學習。」

Sujeet Varakhedi,eBay的工程主管,他說:「Andriy的書在第一頁就做得非常出色,消除了噪音,全速前進。」

Deepak Agarwal,LinkedIn的人工智慧副總裁,他說:「這是一本非常棒的書,適合工程師在日常工作中融入機器學習,而不需要花費大量時間。」

Vincent Pollet,Nuance的研究主管,他說:「《The Hundred-Page Machine Learning Book》是一本開始學習機器學習的優秀讀物。」