Introduction and Basic Concepts
Supervised Learning Setup
Linear Regression
Linear Algebra
Weighted Least Squares
Logistic Regression
Newton’s Method
Perceptron
Exponential Family
Generalized Linear Models
Probability
Gaussian Discriminant Analysis
Naïve Bayes
Laplace Smoothing
Support Vector Machines
Python and Numpy...