Chevron Left
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.

Filter by:

876 - 900 of 2,366 Reviews for Mathematics for Machine Learning: Linear Algebra

By Amit R

Aug 24, 2020

It is a nice course with understanding focused over procedures and mathematical exercise.

By Ahsanul A S

Jun 29, 2020

This course and Grant Sanderson's youtube videos can make anyone superb at Linear Algebra

By William H V G

Jan 16, 2020

This course is very challenging and the same time useful. I've learn a lot of new things.

By Chu W

Nov 21, 2019

I think it overturns my understanding of linear algebra, I was lucky to meet this course.

By Samresh

Jul 9, 2019

Nice Course. Explain in easy and clear way. Cover basic topics for machine learning well.

By Alan S

Sep 13, 2018

The course for every engineer who want to refresh math skills before trying data science.

By Liming

Apr 28, 2021

Fantastic course! Very solid knowledge construction to my weak math background. Loved it

By 18Z360 S M

Sep 28, 2020

Wonderful course for anyone interested to know how intuitive and deep math concepts are!

By ADITYA K

Sep 17, 2020

Very intuitive, well explained and recommended course for machine learning practitioner.

By Shanaka R G

Jun 15, 2020

This is a well-organized course for learner algebra. I learn a lot. Thank you very much.

By Adityan R

May 23, 2020

One of the excellent course by Imperial College. Really enjoyed the 5 weeks of learning.

By Abdullah A N

Apr 20, 2020

Good Course! Helps to visualize the Linear Algebra and it's application in Data Science.

By Yolanda D

Feb 18, 2020

Since I haven't been doing linear algebra after college this course is a good refresher!

By Azhan A

Dec 23, 2018

This is a mind-blowing course, very informative and takes your skills to the next level.

By Dan G

Dec 7, 2018

I very friendly introduction to linear algebra that makes you fully comfortable with it.

By Nelsy Y P S

Nov 22, 2020

Me encantó ver la forma en la que se aplica la teoría, eso lo hace aún más interesante.

By Angel G R G

Oct 18, 2020

This is a good course to remind concepts of Linear Algebra and some of its applications

By Arnold T T C

Aug 24, 2020

demasiado bueno el curso, la manera tan facil como explican y lo hacen ver los docentes

By Mamed A

May 26, 2020

A truly beautiful course, that builds an intuitive understanding of the basic concepts.

By Vishvaksenan k s

May 1, 2020

This s course is very essential to study further neural networks and machine learning .

By Md. H R

Jan 22, 2020

Vectors and matrices were always confusing to me, this course cleared all my confusion.

By Erik D M A

Jan 19, 2020

Excellent course, challenging but very detailed in every subject, strongly recommended!

By Viplav A

Jun 20, 2019

essential course if you want to pursue your carrier in machine learning i learned a lot

By Mansur A

Jun 18, 2018

Insightful and challenging, excellent course! Thanks for delivering this awesome course

By Mehmet T

Jul 19, 2022

Very efficient and practical when you need to remember your past knowledge. Thank you.