Optimization for Machine Learning
UDSC---
Course Materials
| File | Link | |
|---|---|---|
| 1 | Syllabus | Download |
| 2 | Textbook 1 | Download |
| 3 | Textbook 2 | Download |
| 4 | Prerequisite Diagnostic Test | Download |
| 5 | Lecture Notes - Basics | Download |
Key Text(s)
- Edwin K. P. Chong and Stanislaw H. Zak, An Introduction to Optimization, 4th Edition, Wiley (2013).
- Hamdy A. Taha, Operations Research – An Introduction, 10th Edition, Pearson (2017).
Suggested / Additional Readings
- SciPy Reference Guide — docs.scipy.org
- Christian Hill, Learning Scientific Programming with Python, 2nd Edition, CUP, 2020.
Course Snapshot
- L-T-P-C3-0-2-4
- Total Periods70
- Prerequisites10+2 Mathematics, Python programming, Calculus, Probability and Statistics
Prerequisite Resources
Placeholder links — swap for your preferred prep material or an official prerequisite exam.
Limits, derivatives and applications.
Official Python getting-started guide.
Foundational probability & stats refresher.