Lecture 1 | Machine Learning (Stanford)
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Further reading 1
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 datathis actually turned out to be a mix of supervised and unsupervised learningthe consequence of trashing it may not happen until much latera computer program is set to learn from an experienceI'm not going to tell you what the right answer is