• login

Classes-CS178-Notes

Notes for CS178, Machine Learning and Data Mining

Topics:
Introduction
Matlab

• Matlab Basics
• Matlab Classes

Supervised Learning

• Regression
  • Features and Overfitting
• Classification Basics
  • k-Nearest-Neighbors
  • Probability
  • Class-conditional distributions and Bayes / Naive Bayes classifiers
  • Perceptrons and linear classifiers
• Regression as Classification
  • Logistic regression
  • Neural Networks
• Ensemble methods
  • Decision Trees
  • Bagging
  • Boosting

Unsupervised Learning

• Clustering
  • k-means clustering
  • hierarchical agglomerative clustering
  • Gaussian mixtures and expectation-maximization
• Latent space methods
  • PCA
  • LDA for text data

Learning Theory

• VC dimension

Margin approaches

• Support vector machines