Striving Stars (Bosei)
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Striving Stars (Bosei)
4:20
What the "Ensemble Methods"!?
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What the "Ensemble Methods"!?
4:21
What the "Ensemble Methods": Boosting
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What the "Ensemble Methods": Boosting
19:56
Bias Variance Decomposition: Derivations
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Bias Variance Decomposition: Derivations
9:32
What the "Ensemble Methods": Bagging
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What the "Ensemble Methods": Bagging
10:37
Bias Variance Decomposition: Intro
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Bias Variance Decomposition: Intro
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What the "Learning Theory"?!
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What the "Learning Theory"?!
8:25
What the "Linear Models": Feature Transforms
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What the "Linear Models": Feature Transforms
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What the "Linear Models": Deriving Equations for Linear Regression
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What the "Linear Models": Deriving Equations for Linear Regression
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What the "Linear Models": Linear Regression
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What the "Linear Models": Linear Regression
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What the "Linear Models": Perceptron (and Pocket)
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What the "Linear Models": Perceptron (and Pocket)
7:39
What the "Linear Models"!?
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What the "Linear Models"!?
6:29
What the "Linear Models": The Supervised Learning Problem
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What the "Linear Models": The Supervised Learning Problem
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autoencoder
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autoencoder
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Hidden Markov Models: Viterbi Decoding
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Hidden Markov Models: Viterbi Decoding
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Hidden Markov Models: Introduction
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Hidden Markov Models: Introduction
13:14
Dependency Graphs (Hidden Markov Models)
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Dependency Graphs (Hidden Markov Models)
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Hidden Markov Models: Backtracking
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Hidden Markov Models: Backtracking
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Talk on AI with McKinsey
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Talk on AI with McKinsey
1:13
What the "Learning Theory": VC dimensions
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What the "Learning Theory": VC dimensions
19:27