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Why is Applied Reinforcement Learning Hard?
13:24
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What Happens When All Training Data is AI Generated?
18:14
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Why Don't AI Agents Work (Yet)?
17:45
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Is the Future of Linear Algebra.. Random?
35:11
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The Most Important (and Surprising) Result from Information Theory
9:10
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What happens at the Boundary of Computation?
14:59
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The Boundary of Computation
12:59
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Why Do Neural Networks Love the Softmax?
10:47
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Why Do Tree Based-Models Outperform Neural Nets on Tabular Data?
0:58
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The Kelly Criterion
9:01
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Importance Sampling
12:46
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Factor Analysis and Probabilistic PCA
17:46
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The Exponential Family (Part 2)
17:06
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Gaussian Processes
23:47
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The Exponential Family (Part 1)
15:58
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The Principle of Maximum Entropy
13:24
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The Bernstein Basis
14:07
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Linear Regression in 12 minutes
12:01
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The Fisher Information
17:28
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How to Learn Probability Distributions
10:55
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The Bias Variance Trade-Off
15:24
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Jensen's Inequality
6:57