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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
12,232 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

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.

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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2051 - 2075 of 2,427 Reviews for Mathematics for Machine Learning: Linear Algebra

By Shriniwas S U

May 10, 2020

Good course but Instructor should provide some lectures on python programing which is related to assignments.

By Rodney N d S

Aug 31, 2018

This course is short, you can conclude it in a month, but you will learn a lot with the assignments in Python

By tao t

Mar 23, 2022

love it. However, it went a bit fast and I wish the parts of eigen stuffs had been slower and more detailed.

By Chakola P J

Aug 23, 2020

The course provided a good insight into some of the essential concepts with respect to vectors and matrices!

By Ronast S

Jan 18, 2020

This course provides basic insights about vectors and matrices and their analysis in multidimensional space.

By FIGL

Jun 4, 2022

Mostly interesting although teacher tend to contradict himself or skip important partts of the explanation.

By Helena R

Feb 15, 2022

Course re-engineered my Lin Algebra skills. Rather challenging portions at times, But I learned patience.

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.