Linear Algebra for Machine Learning
Course image for Linear Algebra for Machine Learning

Linear Algebra for Machine Learning

Linear Algebra refresher for machine learning. Basics + Python implementation

4.7
(27 ratings)
737 enrolled
Course Instructor: Krunal PatelLast updated 02/2024

Course Outcomes

  • 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

Trusted by learners at

Microsoft
Amazon
Google

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.

This course is interactive

Interactive courses include hands-on coding exercises to practice as you learn. You practice exercises in a VS Code like IDE without any installation/setup.

Screenshot of codedamn IDE

Course Structure

13 lectures1h 7m total duration

  Introduction 
2min
  Vectors and Matrices 
8min
  Matrix operations 
7min
  Rank of a matrix 
6min
  Solving system of linear equations using matrix 
11min
  Change of basis 
5min
  Eigenvalues and Eigenvectors 
7min
  Diagonalization 
6min
  Norms 
3min
  Trace 
0min
  Linear Algebra Assignment 
5min
  Congratulations 
0min

Student feedback

4.7
Course Rating

74%

26%

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Reviews

Profile picture for Srujan Sai
Feb 11, 2024
awesome for their teaching
Profile picture for Sadhu J
Dec 14, 2023
good
Profile picture for Tri ND
Oct 14, 2023
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.
Profile picture for atul
Jan 15, 2023
nice it have to improve more
Profile picture for SUJAL KAMLESHBHAI PARMAR
Dec 18, 2022
its very good

Course Instructor

Krunal Patel
Never stop learning.
Krunal Patel
4.8 Instructor rating
29 Ratings
767 Students
2 Courses

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 te...View profile

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