ELECTIVE COURSE -> not offered every semester
Learning Objectives:
The students will be able to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Content:
1. Linear Regression with One Variable
2. Linear Algebra Review
3. Linear Regression with Multiple Variables
4. Logistic Regression
5. Regularization
6. Neural Networks: Representation
7. Neural Networks: Learning
8. Deep Learning
9. Decision trees
10. Machine Learning System Design
11. Unsupervised Learning (clustering)
12. Dimensionality Reduction
13. Anomaly Detection
14. Recommender Systems
15. Large Scale Machine Learning
