Introduction

Vectors and Matrices

Matrix operations

Rank of a matrix

Solving system of linear equations using matrix

Change of basis

Eigenvalues and Eigenvectors

Diagonalization

Norms

Trace

Assignment

Untitled item

Congratulations

Linear Algebra refresher for machine learning. Basics + Python implementation

I graduated from BITS Pilani Goa Campus in 2015 with B. E. (Hons.) Computer Science and M. Sc. (Hons.) Mathematics. After graduation, I worked with Google from 2015 to 2020 with operations research team. With the operations research team I worked as a developer of Google OR-Tools. I Left Google in 2020 to start my PhD under the supervision of Prof. Andrea Lodi and Prof. Guy Desaulniers in applied mathematics.



My research interests:

Discrete optimization

Column Generation

Machine Learning.

Krunal Patel

Linear Algebra is usually a prerequisite of machine learning. However, one doesn't need to know all the concepts in linear algebra. 

In this course, I have compiled together all the important linear algebra concepts that are most frequently used in machine learning. This is the content I taught at Polytechnique Montreal as a refresher on linear algebra for machine learning. Understanding these concepts will help you navigate through an introductory course in machine learning.

**This course is for you if: **

- You have some knowledge of linear algebra.

- You want to refresh some parts of linear algebra for machine learning.

**This course is not for you if: **

- You want to learn linear algebra from scratch.

- You want to learn all important concepts in linear algebra.

- You don’t know anything about python.

Please note that I do not cover all the topics in linear algebra. I only cover the topics that are most frequently used in the machine learning textbooks. If you want to learn linear algebra from scratch or master all the concepts, this course is not for you.

Introduction to scikit learn

Linear Algebra for Machine Learning

It is brief crash course about linear algebra. In this course everything which we needed to learn machine learning that topics are covered.
  

Rajendra Chimala

Srujan Sai

Sadhu J

The course is good. I learned a lot about Machine Learning, which is necessary for programming Language. In fact, I have studied C ++ so many thanks ad. 

Tri ND

atul

Certificate Details

Linear Algebra for Machine Learning

Course Goals

Krunal Patel