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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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701 - 725 of 2,416 Reviews for Mathematics for Machine Learning: Linear Algebra

By Hiep L

Jul 6, 2024

Very friendly professors with and relatable material. Assignments are good, especially those involving coding activities.

By Farhan F

Mar 25, 2022

This course is challengging and i satisfied because i can do it although i must write in my notes and calculate manually

By Артем С К

Feb 23, 2021

I really liked this course, especially the labs on python. It thought me many new things, but some tests were really hard

By Carlos J B A

Dec 3, 2020

An extraordinary course. In the end, you feel that you have a good basis for understanding problems that involve algebra.

By Henok T

Sep 12, 2020

Really loved every moment of this course. The intuitive understanding you get from this course is priceless in many ways.

By Борох Д С

Feb 1, 2020

нормальный курс, базовые вещи по линейной алгербре рассказаны, объем небольшой но то что рассказывается - весьма доступно

By shesh

Jun 14, 2019

Awesomely interactive and renders decent coverage of subject.. would recommend it for every ardent learner of the subject

By haile b

Aug 20, 2024

The course significantly enhanced my understanding of linear algebra and its practical applications in machine learning.

By Piyu

Jun 13, 2020

Superb course for revising the old concepts and learning new concepts, showing geometrical and arithimetic point of view

By Justin K

Apr 28, 2019

Great course. Good use of animations during the lectures. The notes in the python projects help if you're new to Python.

By Behrooz S

May 30, 2023

Everything is great in this course. highly recommend it for anyone who wants to learn Mathematics for Machine Learning.

By Kasia W

May 2, 2020

A great course, really enjoyable. The concepts were explained well. Picks up in terms of difficulty level at mid point.

By Ramakrishnan.K

Apr 21, 2020

Both the professors were charming! Excellently explained concepts with PageRank discussion being the icing on the cake.

By Hause L

Aug 31, 2019

Excellent course that provides mathematical and geometric intuition behind the linear algebra used in machine learning!

By Mengchan G

Apr 28, 2019

I like the accent of the professor! The context of the lesson is develop gradually which aids my understanding of math.

By Tirthankar B

Apr 20, 2019

Excellent intro to Linear Algebra with clarity on concepts such as application of Gram Schmidt method and Eigenvectors.

By Кузьмин К Ю

Aug 30, 2018

During this course i finally got intuition for many things in Linear Algebra that seemed to me too complicated before.

By jay c

Dec 29, 2022

Great course for those who have not come across linear algebra before , helped me understand LA from a new prespective

By Florian C

Oct 31, 2020

This course is really great in conveying the intuition behind the mathematical concepts underpinning machine learning!

By aftab a

Jun 1, 2020

I guess the best I ever have, very informative, and the instructor explains the ideas very systematically and clearly.

By Dushyant S

Jun 23, 2019

This course is helpful for who are beginner in machine learning field and want to learn basic concepts of mathematics.

By Rishi C

Feb 5, 2019

This course is EXACTLY what I needed - a demonstration of the ideas of linear algebra and how to implement those ideas

By Sampath k R

Aug 25, 2020

It's very interesting and more informative I enjoyed very much and learned some thing. Thank you for the opportunity.

By Adnan S

Jun 17, 2020

Great course to get started with Mathematical Tools one wants to learn in order to get started with Machine Learning.

By Jason B

Mar 19, 2020

Loved instructors, well-paced. It can get confusing at times in the quizzes, forums will not help you in this course.