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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
11,947 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

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.

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.

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1101 - 1125 of 2,366 Reviews for Mathematics for Machine Learning: Linear Algebra

By Nikhil S

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Jun 17, 2020

Absolutely loved this course, the instructors were amazing

By Nicolas D

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Nov 28, 2019

Excellent course. Good balance between theory and examples

By Michael W

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Jun 24, 2019

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

By Andrey T

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Mar 12, 2019

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By arif h

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Jan 6, 2019

nice course.but programming Assignment trouble to submit .

By Naveen R

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Dec 25, 2018

Lectures and assignments are very nice and understandable.

By Geoffrey K

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Oct 19, 2018

Taught by people who really enjoy their topic - excellent!

By Won-Yung L

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Aug 5, 2018

This course gives me geometric intuition of linear algebra

By Vassiliy T

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May 17, 2018

very well structured. problem solving pushes to learn more

By Guillermo S A L

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Jun 20, 2021

Well explained course with multiple and useful exercises.

By Tobias H

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Mar 28, 2021

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

By Mart A M

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Dec 1, 2020

I appreciate how the professors scaffolded their lessons.

By Juan C R

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Sep 13, 2020

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

By ISRAEL F G S

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Jul 31, 2020

Excellent content, challenging assignments, great course!

By Sagnik M

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Jul 25, 2020

The best course to take before starting Machine Learning.

By yogesh g

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Oct 30, 2019

very good course to grasp main concepts of linear algebra

By Andrew

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Mar 12, 2019

Excellent intro into Linear Algebra and Machine Learning.

By Rodrigo S Z

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Aug 24, 2018

great course. gave me lots of intuition of linear algebra

By Evgeny ( C

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Jul 25, 2018

Good balance between presentation and excellent exercises

By Ayush B

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Jul 24, 2018

The hands-on learning on web page ranking was insightful.

By Florin C

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Dec 10, 2022

Good content and clearly explained. I enjoyed all of it!

By Ni P E J

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Mar 19, 2022

awesome assigment test, modul, video, very easy to reach

By Suci A S

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Mar 8, 2021

Too easy to learn the modules and quizzes in the courses

By Dr B M - P

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Aug 8, 2020

Very interesting course. I enjoyed learning this course.

By Dean A P T S

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Jun 21, 2020

Excellent presentation, practice quizzes and assignments