Lecture 01 - The Learning Problem

推荐理由

I have found the Caltech machine learning intro course to be the most elucidating of any resource so far

强烈推荐bob1029 · 原文2023年4月

说明

这是2012年由caltech发布的一部系列课程，主题归在Machine learning & deep learning。它讲的是machine learning fundamentals这一支里的具体问题，而不是把整个领域扫一遍。适合第一次接触、还没有先修课的人。内容上可以概括成：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.这些读者给出的理由，核心是：Recommended repeatedly in 'where do I start with ML' threads as a clear, math-aware introduction.讲法不绑某一条新闻，过几年仍然可以当材料看。从2016年到2023年，有5位不同的读者在5个不同月份把它推荐出来，其中明确叫别人去看的有2次。建议顺着系列往下看，后面的集用得着前面的定义，不适合抽一节就跳走。如果已经会了基本定义，就把注意力放在它怎么把machine learning fundamentals变成能跟着复述的例子。

视频信息

频道

caltech

时长

1 小时 21 分

发布年份

2012

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