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Back to Mathematics for Machine Learning: Linear Algebra

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11,490 ratings

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....

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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By Muhammad N H

•Feb 26, 2021

The final assignment to recreate the Google page rank algorithm was an unforgettable experience.

By James M

•Sep 23, 2020

Gave me a good intuitive feel for a subject I had seen before without intuitively understanding.

By Siddharth R

•Aug 14, 2020

Good breadth of content, excellent presentation, loads to exercises to reinforce your knowledge.

By 姚静萱

•Feb 21, 2020

Thanks for all professors. The content is really good, looking forword to the following courses.

By Claudio P

•Jan 17, 2020

Awesome videos with expert instructors. Also enjoyed the assignments and notebooks, very useful!

By Hyun H M

•Jun 12, 2019

Great explanation by great professors, which is making me inspiration on a further topic like ML

By Mazhar A

•Dec 11, 2020

Really a nice course...instructors are very professionals and the way they taught is excellent.

By Siddharth K

•Jun 20, 2020

Mathematics behind the Python coding is essential and it can be easily learned from this course

By Dr S D

•Jun 13, 2020

A great course. for the first time understood how powerful the linear algebra and matrices are.

By KAMASANI V R

•Jun 2, 2020

This course is very much helpful to build skills in mathematics as well as in machine learning.

By Ng H

•May 29, 2020

A quick review of linear algebra concepts with many guided programming exercises for beginners!

By Emma M

•Jan 27, 2020

I had not done much mathematics since high school. I thoroughly enjoyed this course. Well done.

By Jean A

•Nov 23, 2019

Wonderful course. Allowed me to familiarize with Linear Algebra without spending a lot of time!

By jinwei z

•Jul 23, 2019

I am a student in imperial this course help me a lot in learning 496 math for machine learning.

By Jean-Marc S

•Mar 5, 2019

Love this! Quality of the recording is impressive, content what exactly what I was looking for.

By Sergey S

•Jun 17, 2022

Nice refresher for ML -realted things in linear algebra. The course can be good for begginers

By Himanshu S J

•Mar 12, 2020

First time I felt Mathematics is not just a Number it's so much of visualization. Math is fun.

By Michael R

•Sep 17, 2019

Very visual and engaging. The lecturers' passion for the topic adds to the learning experience

By Santosh B

•Apr 9, 2019

A well designed refresher course with greater emphasis on teaching us the underlying concepts.

By Sai G B A

•May 22, 2020

The course was very nice and deals with all the required linear algebra for machine learning.

By Kamoliddin N

•Nov 15, 2019

Great course and must have for machine learning students. Course however is not for beginners

By Shashank S

•Sep 14, 2018

A very nice introduction of linear algebra from applications in machine learning perspective.

By Shivaprasad K

•Jun 2, 2021

This is a superb course for building the necessary mathematical foundation for Data Science.

By Murat Ç

•Feb 10, 2021

Thank you. I think, You used jupyter notebook with python is very helpful for understanding.

By Mayank

•Dec 3, 2020

This course cleared so many concepts and enabled me to further master the subject on my own.

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