The Hundred-Page Machine Learning Book
Andriy Burkov has a PhD in artificial intelligence and works at Gartner as a senior data scientist and machine learning project leader.
It's the hundred-page machine learning book, as the title suggests. It includes the knowledge of computer vision for everyone want to learn it. It was created by a machine learning expert with a Ph.D. in AI and nearly two decades of industry expertise in computer science and hands-on machine learning.
In many ways, this is a one-of-a-kind book. It is the first effective attempt to produce a book on machine learning that isn't scared to use math. It is also the first attempt to compress a large range of machine learning topics in a methodical and quality-preserving manner.
Only those aspects of the massive body of literature on machine learning generated during the 1960s that have proven to have considerable practical utility are included in The Hundred-Page Machine Learning Book. A beginner in machine learning will find just enough details in this book to gain a comfortable degree of awareness of the area and begin asking the correct questions. Experienced practitioners will find this book useful as a collection of hints in the direction of future self-improvement.
The Hundred-Page Machine Learning Book is particularly useful when brainstorming at the start of a project to determine whether a given technical or commercial challenge is "machine-learnable" and, if so, which techniques should be used to solve it. It is considered one of the best books on computer vision.
The book includes a wiki with pages that supplement some of the book chapters with additional information: Q&A, code snippets, further reading, tools, and other useful resources. This book, like a fine wine, keeps becoming better after you buy it, thanks to the constantly updated wiki.
Author: Andriy Burkov
Link to buy: https://www.amazon.com/gp/aw/d/199957950X/
Ratings: 4.6 out of 5 stars (from 809 reviews)
Best Sellers Rank: #34,692 in Books
#2 in Artificial Intelligence Expert Systems
#4 in Natural Language Processing (Books)
#5 in Computer Vision & Pattern Recognition
