Understanding 10 601 Machine Learning Fall 2017 Lecture 18
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Key Takeaways about 10 601 Machine Learning Fall 2017 Lecture 18
- Decision Trees, Regularization, Overfitting
- Neural Networks 2: Backpropagation
- Information Theory: Cross Entropy and Self Entropy
- For more information about Stanford's
- Inductive Bias
Detailed Analysis of 10 601 Machine Learning Fall 2017 Lecture 18
Bayesian Deep Max Margin Classifiers, MDL, Bayes Error, Reinforcement
Bayesian
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