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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
11,932 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

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.

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

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1976 - 2000 of 2,363 Reviews for Mathematics for Machine Learning: Linear Algebra

By Jordin W

Jan 14, 2020

Fantastic course. My favourite delivery of Linear Algebra thus far. Both Sam and David were a joy to learn from.

By umang s

Dec 21, 2019

The course is very comprehensive and yet is very focused towards actual application of LA in Data Science and ML

By Walter S

Feb 9, 2021

Very good course overall. I would have liked more explanation on the exercises and more time working on python.

By Varun T

Nov 6, 2022

A good quick introduction for people who already know the concepts but need refresher to get back on the feet.

By Ahmad H Z

May 21, 2022

Gives you an overview of how linear algebra can be applied to solve real world problems. I liked it very much.

By Saurabh G

Nov 7, 2019

This is one of the most important courses for someone who wants to build career in the machine learning field.

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.