读过 统计学习基础(第2版)(英文) 🌕🌕🌕🌕🌑
貌似是最经典最扎实的机器学习教科书了；可惜 MIT 貌似没教材；暂时放弃讲不清楚的 ISLR，改看这本；看到 Statistical Decision Theory，一下把机器学习在概率学下的最优解原理讲清除，还把线性回归和 k-nearest neighbor 串联起来了，妙。
Book
统计学习基础(第2版)(英文) Douban
The Elements of Statistical Learning
author:
Trevor Hastie
/
Robert Tibsiranl
…
publishing house:
世界图书出版公司
2015
- 1
This book is our attempt to bring together many of the important new ideas in learning, and explain them in a statistical framework. While some mathematical details are needed, we emphasize the methods and their conceptual underpinnings rather than their theoretical properties. As a result, we hope that this book will appeal not just to statisticians but also to researchers and practitioners in a wide variety of fields.