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ML/DL Notes 0.0.1 documentation
ML
Basic Terms
Decision Trees
Perceptron
Optimizers
Neural Nets
Loss
Regularization
Other Algos
Imbalanced Data
Multiclass
NLP
Embeddings
Neural Embeddings
Similarity Measures
Meta
N Grams
Evaluating LMs
Beam Search
RL
Policy Gradients
Policy Gradient Derivation
Reward to Go
Reward to Go Derivation
Baselines
Unbiased State Value Proof
Math
Moore Penrose Pseudoinverse
.rst
.pdf
Baselines
Baselines
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value of state is a good unbiased baseline
Unbiased State Value Proof