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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
12,188 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

CS

Mar 31, 2018

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

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2051 - 2075 of 2,416 Reviews for Mathematics for Machine Learning: Linear Algebra

By Patricio A R

Aug 3, 2020

Permite ver claramente lo que potencialmente se puede lograr con la aplicación de los conceptos aprendidos.

By Diego C

Jul 4, 2020

This course is a very good opportunity to introduce to the main concepts of linear algebra for data science

By Jorge L C T

Aug 21, 2021

I recommend it for whom to are beginners, nice course to start programming in python using numpy library

By Meixin Z

Dec 10, 2018

the content of this course is really clear, but the assignment system about program needs to be improved.

By Shubham K

Aug 31, 2019

The course is great with really good teaching community , as a beginner it was a really good experience.

By Akwila F

Sep 10, 2020

Perfect for anyone who wants to take specialization but not recommended for beginners in linear algebra

By José D

Sep 15, 2018

Good video & subtitles for non-english speaker, practical examples, good introduction to linear algebra

By Mario H

Mar 20, 2022

the clarity in eigen section is not really good IMO, but overall the course is good and understandable

By Stylianos V

Jul 26, 2020

Very good course for an introduction in linear algebra with many useful concepts for machine learning

By Harry L

Apr 8, 2020

Excellent syllabus and lectures. However, a detail explanation of each practice quiz should be given.

By Prashant D

Feb 16, 2019

Good explanation. Some of the exercises and quizzes need a deeper understanding of the course content

By Alvaro S

May 22, 2018

Great course! I have learned about linear algebra, some geometry, and a bit of programming in Python.

By Grant W

Jan 4, 2022

It was a good course for reviewing the topic. It's probably not great for people new to the subject.

By Eduardo V O

Aug 19, 2020

Course is great. It can improve showing some more complex examples, similar to the ones in the tests

By 李振宇

Jan 20, 2020

Good experience for a beginner like me, and I am looking forward to completing the rest two courses!

By sai s

Mar 17, 2019

A very basic introduction to the math that you will find in Machine Learning. Beginner level Course

By Jefo H G

Nov 16, 2021

It would be better if more detailed explanations are given to complex problems from week 3 onward.

By Yuhao W

Oct 8, 2020

the 2nd half part of the eigenvectors is a bit fragmented and could be given one more week on it.

By Dr. H K L

May 5, 2020

it is good, and very use full to any one, if those are in teaching field as a mathematics teacher

By Ajay R

Sep 11, 2019

Tough course, but got better understanding of topics related to math behind real-world ML models.

By mohammad k

Dec 9, 2023

very good course but the assignments of last two weeks are not difficult but annoying sometimes.

By Ahmad O

Jan 29, 2020

It's not perfect, but I hope if the last of the specialization is more practicable and flexible.

By Sudeep P

Jun 2, 2020

I am really happy with the course as it helped me to understand the core concept of algortihms.

By Hamza F

Mar 24, 2020

A well constructed course that can address students coming from different academic backgrounds.

By Marwa A E K

Oct 18, 2019

I learned and developed intuition of the concepts covered in this course, which I'm happy with.