HackerTube 中文?

Lecture 1 | Machine Learning (Stanford)

StanfordYouTube ↗

Further reading 1

Where does learning get a signal without an answer key? →Start with an unlabeled patch of an image, then switch to a game that requires a sequence of actions. Neither has an answer key, but finding structure and choosing a move need different signals.This video helps answer · What can images teach without labels?

Caption notes

Ng contrasts learning from labeled examples, discovering structure in unlabeled data and learning sequential decisions from rewards.

Original passages · 5
should you spending more time collecting more data or is it the case that you already have enough data
Lecture 1 | Machine Learning (Stanford) · ▶ 47:03–47:32
this actually turned out to be a mix of supervised and unsupervised learning
Lecture 1 | Machine Learning (Stanford) · ▶ 55:55–56:05
the consequence of trashing it may not happen until much later
Lecture 1 | Machine Learning (Stanford) · ▶ 63:17–63:31
a computer program is set to learn from an experience
Lecture 1 | Machine Learning (Stanford) · ▶ 35:17–35:26
I'm not going to tell you what the right answer is
Lecture 1 | Machine Learning (Stanford) · ▶ 51:22–51:27

Hacker News comments

View original on HN ↗