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The Hundred-Page Machine Learning Book

4.6 out of 5 stars 849 ratings

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Editorial Reviews

Review

"This book provides a great practical guide to get started and execute on ML within a few days without necessarily knowing much about ML apriori. The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue. A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time going through a formal degree program."--Deepak Agarwal, VP of Artificial Intelligence at LinkedIn

"This book is a great introduction to machine learning from a world-class practitioner and LinkedIn superstar Andriy Burkov. He managed to find a good balance between the math of the algorithms, intuitive visualizations, and easy-to-read explanations. This book will benefit the newcomers to the field as a thorough introduction to the fundamentals of machine learning, while the experienced professionals will definitely enjoy the practical recommendations from Andriy's rich experience in the field."--Karolis Urbonas, Head of Data Science at Amazon

"I wish such a book existed when I was a statistics graduate student trying to learn about machine learning. There is the right amount of math which demystify the centerpiece of an algorithm with succinct but very clear descriptions. I'm also impressed by the widespread coverage and good choices of important methods as an introductory book (not all machine learning books mention things like learning to rank or metric learning). Highly recommended to STEM major students."--Chao Han, VP, Head of R&D at Lucidworks

"This book provides a great practical guide to get started and execute on ML within a few days without necessarily knowing much about ML apriori. The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue. A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time going through a formal degree program."--Sujeet Varakhedi, Head of Engineering at eBay

"The Hundred-Page Machine Learning Book is an excellent read to get started with Machine Learning. In his book, Andriy Burkov distills the ubiquitous material on Machine Learning into concise and well-balanced intuitive, theoretical and practical elements that bring beginners, managers, and practitioners many life hacks."--Vincent Pollet, Head of Research at Nuance

From the Author


This long-awaited day has finally come and I'm proud and happy to announce that The Hundred-Page Machine Learning Book is now available to order in a high-quality color paperback edition as well as a Kindle edition.
For three months, I worked hard to write a book that will make a difference. I firmly believe that I succeeded.
I'm so sure about that because I received dozens of positive feedback. Both from readers who just start in artificial intelligence and from respected industry leaders. I'm extremely proud that such best-selling AI book authors and talented scientists as
Peter Norvig and Aurélien Géron endorsed my book and wrote the texts for its back cover and that Gareth James wrote the Foreword.
This book wouldn't be of such high quality without the help of volunteering readers who sent me hundreds of text improvement suggestions. The names of all volunteers can be found in the Acknowledgments section of the book.

Product details

  • Publisher ‏ : ‎ Andriy Burkov (January 13, 2019)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 160 pages
  • ISBN-10 ‏ : ‎ 199957950X
  • ISBN-13 ‏ : ‎ 978-1999579500
  • Item Weight ‏ : ‎ 13.8 ounces
  • Dimensions ‏ : ‎ 7.5 x 0.38 x 9.25 inches
  • Customer Reviews:
    4.6 out of 5 stars 849 ratings

About the author

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Andriy Burkov is a dad of two and a machine learning expert based in Quebec City, Canada. Eleven years ago, he got a Ph.D. in Artificial Intelligence, and for the last eight years, he's been leading a team of machine learning developers at Gartner.

His specialty is natural language processing. His team works on building state-of-the-art multilingual text extraction and normalization systems for production, using both shallow and deep learning technologies.

Customer reviews

4.6 out of 5 stars
4.6 out of 5
849 global ratings

Top reviews from the United States

Reviewed in the United States 🇺🇸 on October 18, 2022
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4.0 out of 5 stars Great book to gain an overview of Machine Learning
Reviewed in the United States 🇺🇸 on October 18, 2022
In a small number of pages, the book covers many topics, and it is a good introduction for beginners or people managing a team of data scientists. On the flip side, it lacks depth, being more like a general summary on the topic. The value is that it explains a lot of methods and good practices, so many that even the expert is bound to learn something new, about some popular topic he heard about but only has a vague idea of what it means. This book will fill this gap.

For in-depth coverage of selected modern machine learning topics with new research results focused on applications and a unified approach, with plenty of Python code yet 150 pages total, I suggest checking out my book "Intuitive Machine Learning and Explainable AI", also self-published.

Such books are very well rendered in the PDF version, however the print version does not give them justice. Mine will never be printed, and if by chance it ever does, it will be on high quality paper and in color. Even then, a print version will always lack the HTML-like navigation features available in online versions.

Compared to other similar books, at least Andriy's book has high-quality figures printer in color, and well rendered on paper. However, there is no biography or external references.
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Reviewed in the United States 🇺🇸 on February 19, 2020
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Reviewed in the United States 🇺🇸 on January 17, 2019
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5.0 out of 5 stars Software engineers, this is the machine learning book you need
Reviewed in the United States 🇺🇸 on January 17, 2019
WARNING: It's now possible to buy a counterfeit copy of Andriy's book! To avoid that, click on "See All Buying Options" button and choose *Amazon.com* as the seller.

I'm a software engineer currently working for a big tech company. This is hands down the book you need to grok and master machine learning concepts. As a programmer, I have felt capable of utilizing the machine learning tools available, but have felt distant from understanding the many cited academic papers. I can confidently say, just a few chapters into this book, that this is the book I was missing!

I have followed Andriy on LinkedIn for a long time now, and always appreciated his posts. When I saw he was publishing a book, I didn't think twice and ordered it. As expected, the book is clear, concise and does a thorough job explaining basic mathematical concepts, machine learning principles, and the most important fundamentals to understand the field.

One note: I can tell this book will be useful for a long time. I have many tech related books that become obsolete a few years or even months after they are published. Andriy's approach delves into the core principles, while explaining how to understand further developments into the field. This is something I was missing and truly appreciate.

I have a quirk of reading physical books alongside a text-to-speech interface on a digital device. Especially with text books, this is helpful, but not all textbooks are capable of being processed this way. Fortunately, when you purchase the physical book, Andriy sends you the digital edition as well. As a result, I have been able to breeze through the text in my ideal learning state.

For those who have been working around the academic machine learning world, but are influenced by it - buy this book! For those who are familiar with machine learning concepts and have gone through all the blog posts and MOOCs you could get your hands on - buy this book!
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Top reviews from other countries

Dr. P. Druggan
5.0 out of 5 stars Straight to the point
Reviewed in the United Kingdom 🇬🇧 on November 13, 2021
One person found this helpful
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jamo
4.0 out of 5 stars too expensive but has some essential parts
Reviewed in the United Kingdom 🇬🇧 on December 29, 2019
3 people found this helpful
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Amazon Customer
5.0 out of 5 stars Short and concise
Reviewed in the United Kingdom 🇬🇧 on August 30, 2019
2 people found this helpful
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BookLover
5.0 out of 5 stars Great book
Reviewed in the United Kingdom 🇬🇧 on June 10, 2019
6 people found this helpful
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Georgios Spyrou
5.0 out of 5 stars Amazing introduction to the world of Machine Learning
Reviewed in the United Kingdom 🇬🇧 on March 2, 2019
11 people found this helpful
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