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Active Learning

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Core Set Selection

Diversity Based Sampling

Expected Error Reduction

Expected Model Change

Query By Committee

Uncertainty Sampling

Imitation Learning

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Behavior Cloning

Dagger

Generative Adversarial Imitation Learning

Inverse Reinforcement Learning

Maximum Entropy Irl

Reinforcement Learning

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Bandit

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Epsilon Greedy

Multi Armed Bandit

Thompson Sampling

Upper Confidence Bound

Deep Reinforcement Learning

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Deep Q Network

Muzero

Proximal Policy Optimization

Soft Actor Critic

Dynamic Programming

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Policy Evaluation

Policy Iteration

Value Iteration

Key Concepts

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Action

Environment Model

Policy

Reward

State

Value Function

Monte Carlo Rl

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Monte Carlo Control

Monte Carlo Prediction

Temporal Difference Learning

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Q Learning

Sarsa

Td

Self Supervised Learning

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Autoregressive Prediction

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Gpt Style Next Token Prediction

N Gram Language Model

Rnn Language Model

Transformer Language Model

Contrastive Learning

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Barlow Twins

Byol

Clip Style Image Text Contrastive Learning

Moco

Simclrbi

Swav

Word2vec

Denoising

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Bart Style Denoising

Denoising Autoencoder

Diffusion Denoising Objective

Masked Prediction

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Bert Style Pretraining

Masked Autoencoder

Masked Image Modeling

Masked Language Modeling

Predictive Representation Learning

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Bootstrap Representation Learning

Contrastive Predictive Coding

Semi Supervised Learning

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Consistency Regularization

Fixmatch

Pseudo Labeling

Supervised Learning

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Classification Models

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Adaboost

Cnn Classifier

Decision Tree

K Nearest Neighbors

Logistic Regression

Multilayer Perceptron

Naive Bayes

Random Forest

Rnn Classifier

Softmax Regression

Support Vector Machine

Transformer Classifier

Regression Models

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Elastic Net

Gaussian Process Regression

Gradient Boosting Regression

Lasso Regression

Linear Regression

Neural Network Regression

Random Forest Regression

Ridge Regression

Support Vector Regression

Unsupervised Learning

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Clustering Methods

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Gaussian Mixture Model

K Means

Spectral Clustering

Density Estimation

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Gaussian Mixture Model

Kernel Density Estimation

Dimensionality Reduction

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Principal Component Analysis

Anomaly Detection

ML & DL Resources

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