Drexel - Machine Learning
CS 383 Machine Learning @ Drexel winter 2017
Exam Review Notes
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