Workshops
Karthik Thiagarajan
Courses
Maths-2
Activity Questions
Week 1
1.1
Question-1
Question-2
Question-3
Question-4
Question-5
Question-6
Question-7
Question-9
1.2
Question-10
Question-2
Question-3
Question-6
Question-7
Question-8
1.3
Question-1
Question-3
Question-6
Question-7
Question-8
Question-9
1.4
Question-1
Question-10
Question-2
Question-3
Question-4
Question-8
1.5
Question-10
Question-3
Question-5
Question-6
Question-7
Question-9
Week 2
2.1
Question-10
Question-2
Question-3
Question-4
Question-8
2.3
Question-2
Question-4
Question-8
Question-9
2.4
Question-2
Question-4
Question-5
Question-6
Question-7
Question-8
2.5
Question-2
Question-6
Question-7
Runs
T2-2024
Support
Slides
Vector Spaces
MLF
Notes
Part 1
Introduction
Datasets
ML Problem
Linear Regression
\(\mathbf{X} \mathbf{w}=\mathbf{0}\)
\(\mathbf{Xw} = \mathbf{y}\)
\(\mathbf{Xw} \approx \mathbf{y}\)
Projections
Best-Fit Hyperplane
Part 2
Linear Transformations
Eigenvalues and Eigenvectors
Characteristic Polynomial
Part 3
Complex Numbers
MLT
Runs
T2 2024
Week-3
Topics
Linear Algebra
Notes
Inverse and Determinant
RREF is unique
Spectral Theorem (real version)
Problems
Problem-1
Problem-2
Machine Learning
Notes
PCA
PCA Variants
Probability Statistics
Notes
Poisson Distribution
Random
Reversible Transformations
Vectors and Matrices
Workshops
Intelligent Machines
Workshops
Slides for workshops.
Vectors and Matrices
Intelligent Machines