MachineLearning

Exercise 1

1. Principle Component Analysis

2. Linear Discriminant Analysis (LDA Classifier)

3. Bayes Classifier

4. Minimum Risk

Exercise 2

1. Neural Network Architecture

2. Gradient Descent Linear Regression

3. Sigmoid and SoftMax neurons: Approximate optimization using SGD

4. Feature Selection – Classification – Cross Validation – Overfitting