machine-learning

CS 189 - UC Berkeley Fall 2021

Professors: Jennifer Listgarten, Jitendra Malik

Topics

• Maximum Likelihood Estimation
• Multi-Variable Gaussian
• Linear Regression
• Classification
• Decision Theory
• Bayes Risk
• Neural Networks
• Back-propagation
• Bias-Variance Tradeoff and Overfitting
• Receiver Operating Characteristic Curve
• Precision Recall
• Principal Component Analysis
• t-SNE
• Clustering
• Kernel Methods
• Support Vector Machine
• Nearest Neighbor
• Metric Learning
• Convolutional Neural Networks
• Transformer
• Hidden Markov Models
• Probabilistic Graph Models
• Causality
• Reinforcement Learning
• Computational Biology