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ZYL-Harry edited this page Oct 30, 2022 · 2 revisions

Welcome to the Machine_Learning_study wiki!

Machine Learning

  1. Introduction
  2. Linear Regression
  3. Logistic Regression
  4. Neural Networks
  5. Machine Learning Diagnostic
  6. Machine Learning System Design
  7. Support Vector Machine
  8. K Means Algorithm
  9. Dimensionality Reduction
  10. Anomaly Detection
  11. Recommender System
  12. Gradient Descent

Deep Learning

  1. Mixture-of-Experts
  2. Transformer

Self-supervised Learning

  1. InfoNCE Loss
  2. Contrastive learning and related variants
  3. Clustering methods
  4. Generative adversarial network
  5. Autoencoder and related variants
  6. Normalizing flow

Semi-supervised Learning

  1. FlowGMM

Domain generalization

  1. Generalization theory
  2. Causal representation learning

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