The Hundred-Page Machine Learning Book

Description

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 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