PickVidsLecture 1 | Machine Learning (Stanford)
推荐理由
I'd suggest going back to the original youtube[1] and course materials[2].
强烈推荐11001 · 原文
说明
这是2008年由Stanford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。适合已经能看懂基本术语、想继续往下走的人。内容上可以概括成：The first lecture of Andrew Ng's Stanford CS229 Machine Learning course, giving an overview of the course. It introduces supervised and unsupervised learning, learning theory and reinforcement learning.这些读者给出的理由，核心是：Recommended as the rigorous, math-heavy original course, deeper than the Coursera version, for learning machine learning.它贴着当时的技术，看的时候要记得那是那个年份的判断。从2008年到2020年，有11位不同的读者在11个不同月份把它推荐出来，其中明确叫别人去看的有1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
- Stanford
- 时长
- 1 小时 8 分
- 发布年份
- 2008
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