Machine Learning Lecture 3 | Overfitting, Generalization, Unsupervised Learning | Probabilistic ML
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YouTubeMachine Learning with Aayush
Machine Learning Lecture 3 | Overfitting, Generalization, Unsupervised Learning | Probabilistic ML
In this lecture, I try to give deep intuitions, explanations on following topics(in minutes elapsed from start): 0-18: Overfitting and Generalization. 18-21: No-free lunch theorem. 21-32: Unsupervised Learning. 32-46: Discovering latent factors of variation. 46-52: Self-Supervised Learning. 52-1:05: Evaluating Unsupervised learning models, and ...
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