The Learning Problem
The Vapnik block diagram
Linear Regression (Part 1)
Extracting non-linear patterns with linear models
Linear Regression (Part 2)
Continuation of regression fundamentals
Gradient Descent
Optimizing with iterative methods
Entropy
Information theory principles
Maximum Likelihood Estimation
The workhorse of statistical modeling
Binary Classification
Classification and decision boundaries
Logistic Regression
Binary classification with the logistic model