Module Name | Download |
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noc20_ma35_assignment_Week_1 | noc20_ma35_assignment_Week_1 |
noc20_ma35_assignment_Week_2 | noc20_ma35_assignment_Week_2 |
noc20_ma35_assignment_Week_3 | noc20_ma35_assignment_Week_3 |
noc20_ma35_assignment_Week_4 | noc20_ma35_assignment_Week_4 |
noc20_ma35_assignment_Week_5 | noc20_ma35_assignment_Week_5 |
noc20_ma35_assignment_Week_6 | noc20_ma35_assignment_Week_6 |
noc20_ma35_assignment_Week_7 | noc20_ma35_assignment_Week_7 |
noc20_ma35_assignment_Week_8 | noc20_ma35_assignment_Week_8 |
Sl.No | Chapter Name | MP4 Download |
---|---|---|
1 | Introduction to course and vectors | Download |
2 | Vector Spaces: Definition and Examples | Download |
3 | Vector Subspaces: Examples and Properties | Download |
4 | Vector Subspaces: Basis and Dimensions | Download |
5 | Linear Transformations | Download |
6 | Norms and Spaces | Download |
7 | Orthogonal Complements and Projection operator | Download |
8 | Eigen pairs and properties | Download |
9 | Special matrices and Properties | Download |
10 | Least Square Approximation and Minimum Norm Solution | Download |
11 | Singular Value Decomposition | Download |
12 | SVD: Properties and Applications | Download |
13 | Low Rank Approximation | Download |
14 | Gram Schmidt process | Download |
15 | Polar Decomposition | Download |
16 | Principal Component Analysis-I | Download |
17 | PCA-II: Derivation and Examples | Download |
18 | Linear Discriminant Analysis | Download |
19 | Minimal Polynomial and Jordan Canonical Form-I | Download |
20 | Minimal Polynomial and Jordan Canonical Form-II | Download |
21 | Basic Concepts of Calculus-I | Download |
22 | Basic Concepts of Calculus-II | Download |
23 | Convex Sets and Functions | Download |
24 | Properties of convex functions-I | Download |
25 | Properties of convex functions-II | Download |
26 | Unconstrained Optimization | Download |
27 | Constrained Optimization-I | Download |
28 | Constrained Optimization-II | Download |
29 | Steepest Descent Method | Download |
30 | Newton's and Penalty Function Methods | Download |
31 | Review on Probability | Download |
32 | Bayes' Theorem and Random Variables | Download |
33 | Expectation and Variance | Download |
34 | Few Probability Distributions | Download |
35 | Joint Probability Distributions and Covariance | Download |
36 | Introduction to SVM | Download |
37 | Error minimizing LPP | Download |
38 | Concepts of Duality | Download |
39 | Hard Margin Classifier | Download |
40 | Soft Margin Classifier | Download |
41 | Lecture 41: Unconstrained Optimization | Download |
42 | Lecture 42: Constrained Optimization-I | Download |
43 | Lecture 43: Constrained Optimization-II | Download |
44 | Lecture 44: Steepest Descent method | Download |
45 | Lecture 45: Newton's and Penalty function method | Download |
Sl.No | Chapter Name | English |
---|---|---|
1 | Introduction to course and vectors | Download To be verified |
2 | Vector Spaces: Definition and Examples | Download To be verified |
3 | Vector Subspaces: Examples and Properties | Download To be verified |
4 | Vector Subspaces: Basis and Dimensions | Download To be verified |
5 | Linear Transformations | Download To be verified |
6 | Norms and Spaces | Download To be verified |
7 | Orthogonal Complements and Projection operator | Download To be verified |
8 | Eigen pairs and properties | Download To be verified |
9 | Special matrices and Properties | Download To be verified |
10 | Least Square Approximation and Minimum Norm Solution | Download To be verified |
11 | Singular Value Decomposition | Download To be verified |
12 | SVD: Properties and Applications | Download To be verified |
13 | Low Rank Approximation | Download To be verified |
14 | Gram Schmidt process | Download To be verified |
15 | Polar Decomposition | Download To be verified |
16 | Principal Component Analysis-I | Download To be verified |
17 | PCA-II: Derivation and Examples | Download To be verified |
18 | Linear Discriminant Analysis | Download To be verified |
19 | Minimal Polynomial and Jordan Canonical Form-I | Download To be verified |
20 | Minimal Polynomial and Jordan Canonical Form-II | Download To be verified |
21 | Basic Concepts of Calculus-I | Download To be verified |
22 | Basic Concepts of Calculus-II | Download To be verified |
23 | Convex Sets and Functions | Download To be verified |
24 | Properties of convex functions-I | Download To be verified |
25 | Properties of convex functions-II | Download To be verified |
26 | Unconstrained Optimization | Download To be verified |
27 | Constrained Optimization-I | Download To be verified |
28 | Constrained Optimization-II | Download To be verified |
29 | Steepest Descent Method | Download To be verified |
30 | Newton's and Penalty Function Methods | Download To be verified |
31 | Review on Probability | Download To be verified |
32 | Bayes' Theorem and Random Variables | Download To be verified |
33 | Expectation and Variance | Download To be verified |
34 | Few Probability Distributions | Download To be verified |
35 | Joint Probability Distributions and Covariance | Download To be verified |
36 | Introduction to SVM | Download To be verified |
37 | Error minimizing LPP | Download To be verified |
38 | Concepts of Duality | Download To be verified |
39 | Hard Margin Classifier | Download To be verified |
40 | Soft Margin Classifier | Download To be verified |
41 | Lecture 41: Unconstrained Optimization | PDF unavailable |
42 | Lecture 42: Constrained Optimization-I | PDF unavailable |
43 | Lecture 43: Constrained Optimization-II | PDF unavailable |
44 | Lecture 44: Steepest Descent method | PDF unavailable |
45 | Lecture 45: Newton's and Penalty function method | 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 |