Machine Learning (coursera)

Overview

• Introduction to Machine Learning
• Octave tutorial @ Coursera crowd wiki

Prediction: Supervised Learning

Linear Regression

• Univariate Linear Regression
  • Gradient Descent
• Multivariate Linear Regression
  • Gradient Descent for Multivariate Linear Regression
• Normal Equation

Classification

Logistic Regression

• One-vs-All Classification
• Overfitting and Regularization

Neural Networks

• Representation
• Forward Propagation
• Back Propagation

Support Vector Machines

• Intuition behind SVM

Unsupervised Learning

• Clustering
  • K-Means
• Dimensionality Reduction
• Anomaly Detection
• Recommender Systems

Other

Model Debugging

• Machine Learning Diagnosis
• Learning Curves
• Model Selection
• Cross-Validation
• Error Analysis - also good for prioritizing

Error Metrics

• Precision
• Recall
• $F_1$-score

Practical Advice

• Large-Scale Machine Learning
• Photo OCR Application Example (Machine Learning)