MathJax with Jekyll

02-16

MathJax with Jekyll

02-16

Resources

04-23

science writing

04-24

Linear Algebra - UNIT III - 11 Applications

05-22

Multivariable Calculus

05-22

Linear Algebra - UNIT III - 10 Complex Vectors and Matrices

05-20

Single Variable Calculus

05-19

Linear Algebra - UNIT III - 09 Linear Transformation

05-10

Linear Algebra - UNIT III - 08 Singular Value Decomposition and PCA

05-06

Linear Algebra - UNIT III - 07 Positive Definite Matrices

05-05

Linear Algebra - UNIT II - 06 Eigenvalues and Eigenvectors

05-04

Linear Algebra - UNIT II - 05 Determinants

05-03

Linear Algebra - UNIT II - 04 Orthogonality

05-01

Linear Algebra - UNIT I - 03 Vector Spaces and Subspaces

04-28

Universality Theorem with Neural Network

04-28

Linear Algebra - UNIT I - 02 Solving Linear Equations

04-27

Linear Algebra - UNIT I - 01 Introductions to Vectors

04-27

Web Development

05-09

Web Development

05-01

javascript

04-27

RL for Packet Scheduling is scam

05-01

vscode configuration

05-01

Numerical Analysis - 03 Error Analysis

05-08

Numerical Analysis - 02 Non-linear Equation

05-07

Numerical Analysis - 01 Introduction

05-07

OOP

05-14

Linear Algebra - UNIT II - 04 Orthogonality

05-20

Linear Algebra - UNIT II - 04 Orthogonality

05-20

Engineering Mathematics - A.ODE - 12 Difference Equation

05-20

Engineering Mathematics - A.ODE - 11 Wrap Up

05-20

Engineering Mathematics - A.ODE - 10 Laplace Transform

05-20

Engineering Mathematics - A.ODE - 09 Bessel Equation

05-20

Engineering Mathematics - A.ODE - 08 Frobenius Method

05-20

Engineering Mathematics - A.ODE - 07 Legendre Equation

05-20

Engineering Mathematics - A.ODE - 06 Power Series

05-20

Engineering Mathematics - A.ODE - 05 2nd Order ODE - Nonhomoegeneous

05-20

Engineering Mathematics - A.ODE - 04 2nd Order ODE - Homogeneous

05-20

Engineering Mathematics - A.ODE - 03 2nd Order ODE

05-20

Engineering Mathematics - A.ODE - 02 1st Order ODE

05-20

Engineering Mathematics - A.ODE - 01 Introduction

05-20

Certification

06-01

Bayesian Methods for ML - 06 Variational inference

06-02

Bayesian Methods for ML - 05 Applications and examples

06-02

Bayesian Methods for ML - 04 Expectation Maximization Algorithm

06-02

Bayesian Methods for ML - 03 Latent Variable Models

06-02

Bayesian Methods for ML - 02 Conjugate priors

06-02

Bayesian Methods for ML - 01 Introduction to Bayesian Methods

06-02

Optimization and Analysis Resources

06-01

Convex Optimization - 04 Convexity - Canonical Problem Forms

06-05

Convex Optimization - 03 Convexity - Optimization basics

06-05

Convex Optimization - 02 Convexity - Sets and functions

06-05

Convex Optimization - 01 Introduction

06-05