Modules / Lectures
Module NameDownload
noc20_ma35_assignment_Week_1noc20_ma35_assignment_Week_1
noc20_ma35_assignment_Week_2noc20_ma35_assignment_Week_2
noc20_ma35_assignment_Week_3noc20_ma35_assignment_Week_3
noc20_ma35_assignment_Week_4noc20_ma35_assignment_Week_4
noc20_ma35_assignment_Week_5noc20_ma35_assignment_Week_5
noc20_ma35_assignment_Week_6noc20_ma35_assignment_Week_6
noc20_ma35_assignment_Week_7noc20_ma35_assignment_Week_7
noc20_ma35_assignment_Week_8noc20_ma35_assignment_Week_8


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

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


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available