Machine Learning concepts

Tasks

• Linear Regression

• Linear Classification

• K-Means

Models

• Non-linear features

• Feature templates

• Neural Networks

Optimization Algorithms

• Gradient descent

• Stochastic Gradient descent

• Backproposation

Considerations

• Generalization vs Regularization

• Best practices