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The Hundred-Page Machine Learning Book

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Is this book for you? You will enjoy the book if you are: - 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

Author(s): Andriy Burkov
Publisher: Andriy Burkov
Year: 2019

Language: English
Pages: 152
Tags: machine learning, deep learning, hundred page

Preface
Chapter 1: Introduction
Part I: Supervised Learning
Chapter 2: Notation and Definitions
Chapter 3: Fundamental Algorithms
Chapter 4: Anatomy of a Learning Algorithm
Chapter 5: Basic Practice
Chapter 6: Neural Networks and Deep Learning
Chapter 7: Problems and Solutions
Chapter 8: Advanced Practice
Part II: Unsupervised and Other Forms of Learning
Chapter 9: Unsupervised Learning
Chapter 10: Other Forms of Learning
Chapter 11: Conclusion