Mathematics for Machine Learning | Lec 22 | Dimensionality Reduction & Regression | PCA and MLE
1:22:38
Mathematics for Machine Learning | Lec 21 | Continuous Optimization
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Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
1:30:15
Natasha Jaques PhD Thesis Defense
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Visualizing transformers and attention | Talk for TNG Big Tech Day '24
47:35
Beren Millidge: Learning in the brain beyond backprop
16:30
All Machine Learning algorithms explained in 17 min
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Mathematics for Machine Learning | Lec 20 | Probability | Part IV
24:07