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Linear Algebra for Machine Learning

Linear Algebra refresher for machine learning. Basics + Python implementation

1 hours+ of total content
4.6
5 ratings
217 students enrolled
Course Creator: Krunal Patel

Goals

  • Understand the basic concepts of linear algebra
  • Implement the basic operations of matrices and vectors in python
  • Solve system of linear equations using python
  • Compute eigenvalues and eigenvectors of a matrix
  • Diagonalize a matrix using eigenvalues and eigenvectors

Description

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.

Course Structure

11 lectures 01:01:29 total duration

  Introduction 
02:46
  Vectors and Matrices 
08:25
  Matrix operations 
07:54
  Rank of a matrix 
06:57
  Solving system of linear equations using matrix 
11:01
  Change of basis 
05:02
  Eigenvalues and Eigenvectors 
07:59
  Diagonalization 
06:24
  Norms 
03:36
  Trace 
00:45
  Congratulations 
00:40

Student feedback

4.6
Course Rating

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Reviews

profile pic for atul
Jan 15, 2023
nice it have to improve more
profile pic for Mdsufyan
Jan 05, 2023
interesting
profile pic for Aditya Phadnis
Jan 03, 2023
A decent course to brush up your linear algebra.
profile pic for SUJAL KAMLESHBHAI PARMAR
Dec 18, 2022
its very good
profile pic for Aditya Vijay Singh
Dec 16, 2022
good course

Your Course Instructor

Course Instructor Image

Krunal Patel

Never stop learning.

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.

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