Course Modules
Access lectures, assignments, code examples, and research papers
| Module | Title | Lecture | Codes | Assignment | Papers |
|---|---|---|---|---|---|
| Part 0: Course Overview | |||||
| 01 | Course Introduction | No content | No content | No content | |
| Part 1: Linear Algebra | |||||
| 01 | The Geometry of Data | No content | No content | No content | |
| 02 | Computational Linear Algebra-1 | No content | |||
| 03 | Computational Linear Algebra-2 | No content | |||
| 04 | Eigenvalues and Eigenvectors | No content | No content | No content | |
| 05 | Singular Value Decomposition | No content | |||
| Part 2: Calculus and Optimiztion | |||||
| 01 | MinMax Optimization | No content | No content | ||
| 02 | Multivariate Calculus | No content | No content | No content | |
| 03 | Linear Regression | No content | |||
| 04 | Logistic Regression | No content | No content | ||
| 05 | Deep Learning Fundamentals-1 | No content | |||
| 06 | Deep Learning Fundamnetals-2 | No content | No content | ||
| 07 | Deep Learning Fundamentals-3 | No content | |||
| Part 3: Probability | |||||