Back to Mathematics for Machine Learning: Linear Algebra

stars

10,875 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....

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.

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.

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By greg m

•Feb 15, 2020

Very good all around. Good material for me. Good teaching

By In W C

•Oct 8, 2019

The instructor does a great job at explaining key concepts!

By Davide F

•Sep 12, 2019

It gives a great visual intuition on linear algebra topics.

By YSQ是我的

•Jul 8, 2019

讲的很好，就是因为语言问题有一些不理解，另外pagerank那个还没理解，但是快到期了，没办法，比较7天的试用期太短了

By ANKIT G

•Feb 10, 2019

Awesome way to quickly revise some linear algebra concepts.

By Tanuj J

•Jan 18, 2019

Informative and concise course. Good pace and explanations.

By Dong T

•Dec 15, 2018

Very practical and dynamic tutorial of linear algebra. thx.

By Febrian F A

•Mar 4, 2021

i become know about matriks and vektor in machine learning

By Anivilla S

•Jan 4, 2021

BEst course for refresh your foundations in linear algebra

By Yonathan C

•Dec 4, 2020

this is really intuitive course which makes me love maths.

By Manoj K

•Oct 7, 2020

best course to improve the concept behind machine learning

By John B

•Jun 28, 2020

Engaging and informative instruction, and a helpful forum.

By Nikhil S

•Jun 17, 2020

Absolutely loved this course, the instructors were amazing

By Nicolas D

•Nov 28, 2019

Excellent course. Good balance between theory and examples

By Michael W

•Jun 24, 2019

This was everything it promised to be. I was very pleased.

By Andrey T

•Mar 12, 2019

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By arif h

•Jan 6, 2019

nice course.but programming Assignment trouble to submit .

By Naveen R

•Dec 25, 2018

Lectures and assignments are very nice and understandable.

By Geoffrey K

•Oct 19, 2018

Taught by people who really enjoy their topic - excellent!

By Won-Yung L

•Aug 5, 2018

This course gives me geometric intuition of linear algebra

By Vassiliy T

•May 17, 2018

very well structured. problem solving pushes to learn more

By Guillermo S A L

•Jun 20, 2021

Well explained course with multiple and useful exercises.

By Tobias H

•Mar 28, 2021

I really enjoyed this course! Thank you for preparing it.

By Mart A M

•Dec 1, 2020

I appreciate how the professors scaffolded their lessons.

By Juan C R

•Sep 13, 2020

This course is awesome. One of the best I've done so far.

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