Drexel - Machine Learning

CS 383 Machine Learning @ Drexel winter 2017

Exam Review Notes

• Midterm
• Final

Homework 1

• Visualizing Data
• Dimensionality Reducing (PCA)

Homework 2

• Clustering using k-means

Homework 3

• Closed Form Linear Regression
• S-Folds Cross Validation

Homework 4

• Gradient Descent

Homework 5 and 6

• k-Nearest Neighbors

Homework 7

• Support Vector Machines
• Multi-Class Support Vector Machines

Homework 8

• Artificial Neural Networks
• The Precision-Recall Tradeoff
• Multi-Class Artificial Neural Networks