Lecture 01 - The Learning Problem
5 人推荐 · 跨 5 个月 · 2016–2023
中文导读
加州理工学院经典公开课《Learning from Data》（CS 156）的第一讲，由 Yaser Abu-Mostafa 教授执教，系统阐释了“机器为何能学习”的数学本质，并概述了监督、无监督与强化学习的框架。
为什么 HN 推它
HN 问答中“零基础系统学机器学习该从哪里起步”的高频神级答案，数学严谨、讲授透彻。
「在我接触过的所有入门资料里，加州理工这门机器学习导论课无疑是讲得最通透的一门。」HN 网友原话：I have found the Caltech machine learning intro course to be the most elucidating of any resource so far
英文原摘要（HackerTube / Claude 整理）
The first lecture of Caltech's CS 156 Machine Learning course by Yaser Abu-Mostafa, introducing the learning problem and supervised, unsupervised and reinforcement learning. It is one of 18 lectures in the Learning from Data course.
Recommended repeatedly in 'where do I start with ML' threads as a clear, math-aware introduction.
HN 上的提及
He covers the VC dimension in
there are some lectures about machine learning on youtube. I think they are good to watch
one course I very much enjoyed auditing was "Learning from Data
I like how he explains stuff and adds some context behind the math of each topic.
I have found the Caltech machine learning intro course to be the most elucidating of any resource so far