Stanford
Season 8

20 Episodes

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Season 8

Episodes

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  • 20 episodes
    20 episodes
    • s8e20Partially Observable MDPs (POMDPs)
    • s8e19Advice for Applying Machine Learning
    • s8e18State-action Rewards
    • s8e17Generalization to Continuous States
    • s8e16Applications of Reinforcement Learning
    • s8e15Latent Semantic Indexing (LSI)
    • s8e14The Factor Analysis Model
    • s8e13Mixture of Gaussian
    • s8e12The Concept of Unsupervised Learning
    • s8e11Bayesian Statistics and Regularization
    • s8e10Uniform Convergence - The Case of Infinite H
    • s8e9Bias/variance Tradeoff
    • s8e8Kernels
    • s8e7Optimal Margin Classifier
    • s8e6Multinomial Event Model
    • s8e5Discriminative Algorithms
    • s8e4Newton
    • s8e3The Concept of Underfitting and Overfitting
    • s8e2An Application of Supervised Learning - Autonomous Deriving
    • s8e1The Motivation