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Back to Mathematics for Machine Learning: Linear Algebra

Learner Reviews & Feedback for Mathematics for Machine Learning: Linear Algebra by Imperial College London

4.7
stars
10,236 ratings
2,056 reviews

About the Course

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before. At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning....

Top reviews

EC
Sep 9, 2019

Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

NS
Dec 22, 2018

Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.

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1826 - 1850 of 2,064 Reviews for Mathematics for Machine Learning: Linear Algebra

By fatima s

Jun 18, 2020

Wish it was a bit more spontaneous but overall great content!!

By Gautam K

Mar 7, 2019

Highly recommended course for beginners in Machine Learning.

By Mark R

Jan 3, 2019

Good grounding in the fundamental mathematics needed for ML

By Alagu P P G

Jun 18, 2020

good start up for algebra enthusiasist.

a strong foundation

By Deleted A

Apr 23, 2020

I felt that lectures aren't enough to solve the exercises.

By celwang

Mar 23, 2020

good course ! but some of the formula should be more clear

By 谢迟

Jun 25, 2018

The core idea of eigenvalue and eigenvector is very good.

By Andini A M

Mar 12, 2021

I thought it was lacking in practice before the LAB test

By Pakpoom S

Aug 6, 2021

Good course but should dig more deeper in math concepts

By stark

Feb 6, 2021

Inspired me how to look at matrix, but not deep enough

By Alisa G

Apr 25, 2020

great teachers, very practical quizzes and examples!

By Long Q

Oct 10, 2018

not bad, I feel the information is not enough for ML

By Rahul S

Jun 21, 2020

like a building blocks for one step forward into AI

By Aniruddhan P N

May 29, 2020

Excellent Introduction to the concepts, Thank you!

By adam m

Feb 12, 2019

reasonably well constructed and presented material

By Abhishek J

Apr 19, 2020

Good Course, Best Videos, Excellent Understanding

By Manish C

Apr 16, 2020

well made course for machine learning foundation

By Tasfiq R

Jun 29, 2020

Great course.Animation can be addes for pagerank

By Kasidit ( R

Mar 21, 2019

Great way to build foundation in Linear Algebra

By Jay S S

Jul 27, 2020

Fast paced interesting course. Lots to learn!

By Uri M

Sep 29, 2020

Pretty nice hands on linear algebra course

By 何霄

Feb 23, 2020

clearly explain all the key concepts in la

By Ratnakar M

Jun 1, 2018

Very engaging course and right on spot!!!

By Andres O

May 25, 2018

Very good linear algebra intro/refresher

By Paul M D C B

Nov 2, 2020

Too technical but relevant nonetheless