Turing Post (Ksenia Se)· @TheTuringPost · X·· 2 小时前AI 评分28
AI 导读
一本免费书：Laurent Younes 的《Introduction to Machine Learning》 这是一本很好的读物，可以学习核心 ML 概念背后的数学，或重温相关知识，并沿途探索一些关键 ML 方法。 涵盖： - 神经网络、图模型与生成模型 - 优化与偏差-方差 - 回归、SVM 与核方法 - 决策树 - 聚类与泛化界
正文 · 原文
A free book: "Introduction to Machine Learning" by Laurent Younes
It’s a great read to learn math behind core ML concepts or refresh your knowledge of it, and explore some key ML methods along the way.
Covers:
- neural networks, graphical and generative models
- optimization and bias–variance
- regression, SVMs, and kernels
- decision trees
- clustering and generalization bounds
来源：Turing Post (Ksenia Se) · x.com