Machine Learning

Computation Graph for Logistic Regression

Computation Graph - why forward pass and backward pass

Logistic Regression for Binary Classification

Finished Machine Learning Course - What's next?

Large Margin Intuition

Support Vector Machine

Trading Off Precision and Recall

Error Metrics for Skewed Classes

Error Analysis

Prioritizing What to Work On

Deciding what to try next (revisited)

Learning Curves

Diagnosing Regularization Bias vs. Variance

Model Selection and Train/Validation/Test Sets

Evaluating Hypothesis

Random Initialization

Gradient Checking