• Title: The Hundred-Page Machine Learning Book
• Author(s) Andriy Burkov
• Publisher: Andriy Burkov (January 13, 2019); eBook (Released Drafts)
• License(s): "read first, buy later"
• Paperback: 159 pages
• eBook: PDF files
• Language: English
• ISBN-10: 199957950X
• ISBN-13: 978-1999579500
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Book Description

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

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.

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.

This book is for:

• a software engineer or a scientist who wants to become a machine learning engineer or a data scientist
• a data scientist trying to stay on the edge of the state-of-the-art and deepen their ML expertise
• a manager who wants to feel confident while talking about AI with engineers and product people
• a curious person looking to find out how machine learning works and maybe build something new

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

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• Machine Learning
• Neural Networks and Deep Learning
• Artificial Intelligence
• Data Analysis and Data Mining

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