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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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626 - 650 of 2,363 Reviews for Mathematics for Machine Learning: Linear Algebra

By Marin S

Nov 29, 2020

Fantastic. Very detailed and informative. I havent met a better mathematics course. It is even better than the one in the university

By Tarun D

Sep 11, 2020

This course is designed excellently and I recommend this to every one who wants to explore the depth of Machine Learning from Basics

By Agam K

Aug 14, 2020

This course gives a lot of confidence. Also, teaching style is awesome in this course. I learnt so many unknown concepts and tricks.

By Mayuri A B

May 2, 2020

This is a very interesting course. I completed this during lock down and am looking forward to other courses in this specialization.

By Gergő G

Mar 14, 2019

Very professional and passionate lecturers with positive vibes. Recommended course to gain mathematical intuition in linear algebra.

By Val V

Jul 28, 2021

Presented by highly articulate and passionate experts, this course was both fun and very informative. I've enjoyed every bit of it.

By Varadarajan B

Aug 14, 2020

Thanks and very informative gave good understanding and linear algebra. Can be taught with some easy examples and basics explained.

By AKSHAY K

Sep 16, 2018

It's a great foundation course for anyone who wants start their journey in Data Science.The content is relevant to ML applications.

By FARTADE K S

Feb 14, 2022

very nice course with practical expanation of every topic in real time looks fabulous. thanks a lot imperial college london.......

By Daniel W

May 1, 2020

Spectacular class! Well-designed to be clear and also an efficient use of time. The instructors are top class. Highly recommended.

By Nushaine F

Jun 8, 2019

This is my first course on coursera, and it was an awesome experience! I will definitely be taking more courses in the near future

By Animikh A

Mar 27, 2022

This is a brilliant course! I have never learned Linear Algebra in such an intuitive manner anywhere else! Beautifully explained!

By Anjali K

May 7, 2020

This is an excellent course if you're willing to build your intuition on what happens when complex codes in Machine Learning run.

By Praveen J

Apr 19, 2020

The Graphics and teach the equations in a intuitive manner open up new networks to connect between different Concepts and domains

By Vipin S

Jul 29, 2019

Very well designed course to provide the background in a simplified form on a concept which is top of mind for several businesses

By liyimeng

Jun 18, 2018

It's really helpful to rebuild the fundamental, not very deep enough. It's better to read some books as well when take the course

By Hema M

Dec 27, 2023

This course really helped me understand the concepts of vectors, matrices and eigen values. Really grateful for this experience.

By Mazhar A Z A

Aug 27, 2020

This course is very helpful for me. Revised my Linear Algebra with the help of machine Learning. Loved this page rank algorithm.

By DESHPANDE H S

Jul 16, 2020

The tutors and the overall program was superb I wish I had enough money to travel to London and take admission at this instittue

By Pete F

Jul 6, 2020

Great course. Some really challenging assignments and tasks! It was also great to get a little insight to Google's site ranking.

By Iswarya K V

Jun 27, 2020

Great content delivered in a very concise manner with adequate examples and visualizations to aid in understanding the concepts.

By Neeraj R

Jan 26, 2019

I had already looked at Khan Academy and 3bluebrown1 before taking this course.

This course packs the best of both in one place.

By Hiren G

Oct 11, 2020

Thanks for this wonderful course of mathematics I have learn new practical applications of linear algebra in machine learning .

By Shenyi H

Aug 16, 2020

This course is kinda challenging for those who have never learned linear algebra before. But generally I recommend this course.

By Edward A

May 22, 2020

Exactly what I wanted. I am far better equipped to deal with linear algebra and the inner workings of machine learning models.