Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
6 months ago
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Machine Learning | Course | Stanford Online
Machine Learning | Course | Stanford Online
Sep 15, 2020
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Stanford CS229 I Machine Learning I Building Large Language Models (LLMs) | Yann Dubois | 39 comments
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs) | Yann Dubois | 39 comments
Aug 30, 2024
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Lecture 12 - Debugging Ml Models And Error Analysis Stanford Cs229 Machine Learning
1:18:55
Lecture 12 - Debugging Ml Models And Error Analysis Stanford Cs229 Machine Learning
1 week ago
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Andrew Ng just taught the entire mathematical foundation of machine learning in one lecture.Free. Stanford University CS229.4 concepts most developers spend YEARS piecing together:Locally weighted regression — fit any curve, not just lines.Maximum likelihood — why squared error actually makes sense statistically.Logistic regression — the real math behind every binary classifier you have ever used.Newton's Method — reaches the optimum in quadratic time while gradient descent is still warming up.T
1:19:34
Andrew Ng just taught the entire mathematical foundation of machine learning in one lecture.Free. Stanford University CS229.4 concepts most developers spend YEARS piecing together:Locally weighted regression — fit any curve, not just lines.Maximum likelihood — why squared error actually makes sense statistically.Logistic regression — the real math behind every binary classifier you have ever used.Newton's Method — reaches the optimum in quadratic time while gradient descent is still warming up.T
6.5K views2 weeks ago
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