| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Basics of Linear Algebra: Linear Independence | Download |
| 2 | Linear Algebra: Rank of a matrix | Download |
| 3 | Linear Algebra - Subspaces of a matrix -1 | Download |
| 4 | Linear Algebra - Subspaces of a matrix -2 | Download |
| 5 | Linear Algebra -- Null space | Download |
| 6 | Linear Algebra -- Eigen Vectors/Values of a matrix -1 | Download |
| 7 | Linear Algebra -- Eigen Vectors/Values of a matrix -2 | Download |
| 8 | Programming Eigen Decomposition using Python | Download |
| 9 | Singular Value Decomposition - 1 | Download |
| 10 | Singular Value Decomposition - 2 | Download |
| 11 | Principal Component Analysis - 1 | Download |
| 12 | Principal Component Analysis - 2 | Download |
| 13 | Principal Component Analysis - 3 | Download |
| 14 | Principal Component Analysis - Coding | Download |
| 15 | Machine Learning - Overview | Download |
| 16 | Optimisation Problems | Download |
| 17 | Gradient of a Vector Valued Function -1 | Download |
| 18 | Gradient of a Vector Valued Function -2 | Download |
| 19 | Neural Netowrks - Overview | Download |
| 20 | Neural Netowrks - Backpropagation | Download |
| 21 | Optimisation - Introduction to optimisation problems | Download |
| 22 | Optimisation - Relaxation and approximate convergence | Download |
| 23 | Optimisation - First Order Optimality Condition | Download |
| 24 | Optimisation - Second Order Optimality Condition | Download |
| 25 | Proof of Second Order Optimality Condition, Gradient Methods | Download |
| 26 | Gradient Descent -2 | Download |
| 27 | Variants of Gradient Descent -1 | Download |
| 28 | Variants of Gradient Descent -2 | Download |
| 29 | Variants of Gradient Descent -3 | Download |
| 30 | Convex Sets | Download |
| 31 | Convex Functions | Download |
| 32 | Duality and Lagrangian - Part 1 | Download |
| 33 | Duality and Lagrangian - Part 2 | Download |
| 34 | Duality and Lagrangian - Part 3 | Download |
| 35 | Coding: Introduction to Pytorch | Download |
| 36 | Guest Lecture: Support Vector Machine | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Basics of Linear Algebra: Linear Independence | PDF unavailable |
| 2 | Linear Algebra: Rank of a matrix | PDF unavailable |
| 3 | Linear Algebra - Subspaces of a matrix -1 | PDF unavailable |
| 4 | Linear Algebra - Subspaces of a matrix -2 | PDF unavailable |
| 5 | Linear Algebra -- Null space | PDF unavailable |
| 6 | Linear Algebra -- Eigen Vectors/Values of a matrix -1 | PDF unavailable |
| 7 | Linear Algebra -- Eigen Vectors/Values of a matrix -2 | PDF unavailable |
| 8 | Programming Eigen Decomposition using Python | PDF unavailable |
| 9 | Singular Value Decomposition - 1 | PDF unavailable |
| 10 | Singular Value Decomposition - 2 | PDF unavailable |
| 11 | Principal Component Analysis - 1 | PDF unavailable |
| 12 | Principal Component Analysis - 2 | PDF unavailable |
| 13 | Principal Component Analysis - 3 | PDF unavailable |
| 14 | Principal Component Analysis - Coding | PDF unavailable |
| 15 | Machine Learning - Overview | PDF unavailable |
| 16 | Optimisation Problems | PDF unavailable |
| 17 | Gradient of a Vector Valued Function -1 | PDF unavailable |
| 18 | Gradient of a Vector Valued Function -2 | PDF unavailable |
| 19 | Neural Netowrks - Overview | PDF unavailable |
| 20 | Neural Netowrks - Backpropagation | PDF unavailable |
| 21 | Optimisation - Introduction to optimisation problems | PDF unavailable |
| 22 | Optimisation - Relaxation and approximate convergence | PDF unavailable |
| 23 | Optimisation - First Order Optimality Condition | PDF unavailable |
| 24 | Optimisation - Second Order Optimality Condition | PDF unavailable |
| 25 | Proof of Second Order Optimality Condition, Gradient Methods | PDF unavailable |
| 26 | Gradient Descent -2 | PDF unavailable |
| 27 | Variants of Gradient Descent -1 | PDF unavailable |
| 28 | Variants of Gradient Descent -2 | PDF unavailable |
| 29 | Variants of Gradient Descent -3 | PDF unavailable |
| 30 | Convex Sets | PDF unavailable |
| 31 | Convex Functions | PDF unavailable |
| 32 | Duality and Lagrangian - Part 1 | PDF unavailable |
| 33 | Duality and Lagrangian - Part 2 | PDF unavailable |
| 34 | Duality and Lagrangian - Part 3 | PDF unavailable |
| 35 | Coding: Introduction to Pytorch | PDF unavailable |
| 36 | Guest Lecture: Support Vector Machine | PDF unavailable |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Not Available |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |