Module: Soft start: Linear methods

Prerequisite Modules

Linear Regression

Linear Regression

EE 345

Linear Classifiers

Linear Classifiers

EE 445

Single Neuron Networks

Basic computational unit of a neural network

EE 445

Feedforward Neuron Networks

Basic feedforward neural network (Icon: Wikipedia)

EE 445

Learning Outcomes

Linear Models

• You understand the basic principles behind linear regression and some classification approaches
• You can multiply matrices, and interpret matrix multiplication as linear combinations (both row and column views)
• You follow the idea of projections into linear spaces
• You understand how Principal Components visualizes data, and interpret eigenvectors/eigenvalues in this fashion

Experiential Learning

Assessments