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简介
The Hundred-Page Machine Learning Book 豆 8.4分
资源最后更新于 2020-09-27 15:05:46
作者：Andriy Burkov
出版社：
出版日期：2019-01
ISBN：9781999579500
文件格式： pdf
标签： MachineLearning 计算机 机器学习 数据科学 计算机科学 经典 软件开发 软件工程
简介· · · · · ·
Everything you really need to know in Machine Learning in a hundred pages.
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.
Review
"This book provides a great practical guide to get started and execute on ML within a few...
目录
Released Drafts of the Chapters
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
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
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