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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
12,186 ratings

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

HE

Aug 8, 2021

the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering

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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601 - 625 of 2,416 Reviews for Mathematics for Machine Learning: Linear Algebra

By Julian A M M

Jun 4, 2020

The teachers are quite good and the subjects of the course very interesting, I learned many new things and I feel that it is very useful for me.

By Donna D C

Apr 16, 2020

Excellent course for developing intuition for linear algebra, transformation matrices, basis changes, and eigenvalue and eigenvector operations.

By Deleted A

Apr 12, 2020

The instructors explained everything really well. I took Linear Algebra in university and could not understand things as well as in this course!

By yifei l

Dec 21, 2019

Great linear algebra part, compare to regular linear algebra class. This class focues more on intuitive and practice. I really enjoy this class.

By ChaoLin

Oct 25, 2018

only the homework is not so friendly to the people who do not use python often, and the other is so good, especially about the teachers, thanks!

By Nigel H

Apr 18, 2018

Very high production standards, well presented by enthusiastic staff and very manageable as the material is taught so well. Highly recommended.

By AVICHAL S

Mar 27, 2020

This course teaches complex theories of Linear Algebra in a simple way. Coding Practice problems were very useful in implementing the learning.

By Brandi R

Jun 20, 2019

Wow, this course was hard. But very good, I learned so much about transforming vectors and matrices as well as some interesting Python coding.

By Abitha R

Dec 18, 2020

The course was challenging and at the same time, it gave me an idea on preparing myself for the job role I am planning to get into. Thank you.

By Amar n

Dec 11, 2020

Just Brilliant!!! Very well structured with very clear assignments. Doing the assignments is a must if you want to get clarity on the subject.

By Raghavendra R K

Sep 16, 2020

When I started this course, I have no experience in Mathematics, but after this course, I got confidence in Better understanding of algorithms

By HARSHAVARDHAN K

May 19, 2020

It was a nice course. The way they explain the concept is really appreciable. This course focused more on intuition rather than rote learning.

By Oj S

Dec 13, 2019

A very useful course for Machine learning, you will never feel aloof if you are not with a Mathematics background while learning ML afterward.

By Asrorbek O

Jun 21, 2019

The course is very great. I have thoroughly enjoyed taking it. However, 5th module should be improved by teaching diagonalization more deeply.

By Robert P C J

Jun 30, 2018

This course was a really excellent refresher in linear algebra! Everything was presented clearly, and the lectures and homework were engaging.

By aurelio m

Jan 25, 2021

It's an excellent matrix course. The teachers teach very well.

As it is a specialized program course, previous knowledge in Python is required

By Nilkumar P

Jul 10, 2020

It was very useful course for me as i`m not good at school math so it helped me understand concepts and not focusing on traditional methods.

By Brian W

Dec 12, 2019

Very informative, even as I start my postgraduate studies, I have picked up on a few notions and perspectives I have never considered before.

By Nano D N

May 14, 2019

I'm only at the beginning of the course but the material is really worth it.

Great instructor. He makes himself very clear and easy to follow.

By Camilo J

Feb 18, 2019

Great class and wonderfull material. Focused on intuition and programming rather that minndlessly solving problems as a mechanical challenge.

By Henry Y H

Apr 2, 2018

Website works really well and the course material is clear and concise where the lecturer describes the theory and its application very well.

By Luis D A S

Sep 5, 2023

Great course. It was fun as well. It helped me understand the math basis for Machine Learning. Instructors are very clear and knowledgeable.

By Guilherme F

Feb 8, 2021

Excelente revisão de Álgebra Linear com aplicações claras em exemplos cotidianos com exercícios de programação em scripts simples de Python.

By Nagarjuna P

Mar 20, 2020

Course is very interesting and all the concepts regarding linear algebra is conveyed in practical manner.Thoroughly enjoyed the whole course

By Nathan R

Jan 22, 2020

I needed a course to understand basic of linear algebra prior to starting masters course in discrete optimization. This course was perfect.