Back to Mathematics for Machine Learning: Linear Algebra

4.7

stars

8,589 ratings

•

1,738 reviews

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....

PL

Aug 25, 2018

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

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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By Nihar V

•Oct 2, 2019

Awesome course. Basics of maths for machine learning aspirations. very good teaching.

By Ahmad M A

•Sep 5, 2019

All you need to do is to be consistent in order to get most out of this specilization

By Sushant P

•May 19, 2019

This course was every bit painful, fun and really worth the time spent on. :)

Thanks!

By Ruba M

•Jul 24, 2020

this an excellent course. the material was great and the instructors are very clear.

By Tonmoy D

•Jun 23, 2020

An excellent introduction if you want to brush up your knowledge on linear algebra!!

By Kailash Y

•Jun 15, 2020

Great enthusiastic lecturers and amazing explanation from a geometric point of view.

By George W

•Oct 16, 2018

Besides some problem with programming assignment submission, it's an awesome course.

By Carlos A G

•Jun 3, 2020

Give an excellent intuition about all the topics, great examples, I love the course

By Shailesh B

•May 5, 2020

Really it was excellent content represented in a geometric way. I enjoyed it a lot.

By Hanqiu D

•Apr 23, 2020

This course is really good for beginners and people who want to review mathematics.

By HUBER H M

•Mar 8, 2020

Great course fr remenber importan topics the university and use in machine learning

By Michael M

•Nov 25, 2019

Exceptional experience working with the beauty of linear algebra and vector spaces.

By Amar T

•Nov 14, 2019

Nice course, nice teachers, a was able to gain a knowledge that i needed. Thank you

By Peter W

•Oct 20, 2019

Easy to learn and understand the abstract core concepts of linear algebra. Thanks.

By Lotachukwu I

•Mar 23, 2019

The course content, structure and tutors are superb. Challenging assignments though

By Mark C

•Jul 15, 2018

Thiw as much more interesting than the linear algebra class I took a long time ago.

By Rhian T

•Jun 18, 2018

Clearly presented and engaging through the course's focus on Data Science problems.

By syed a

•Oct 29, 2020

It was a great journey, It shows me intuitive prospective to learn linear algebra.

By Nikita C

•Mar 30, 2020

Great course with everything explained visually! I would recommend it to everyone.

By Ajay

•Jul 2, 2019

Brilliant course to covers all nitty-gritty of Liner algebra in Machine Learning.

By Andrew L

•Jul 2, 2019

A clear and concise introduction to linear algebra. Excellent instructors as well.

By Janzaib M

•Jun 15, 2018

Perfect for those who thinking of starting Machine Learning and Data Science or AI

By Dr. J b S

•Jun 23, 2020

Theory and examples discussed in lecture may more closely mapped to the Exercises

By Daniel A

•May 9, 2020

Excellent instruction, with great relationship between the videos and assignments

By Suyog P

•Jul 20, 2019

Amazing course for neophytes who wants to dive into the world of Machine Learning

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