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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
12,186 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

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

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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351 - 375 of 2,416 Reviews for Mathematics for Machine Learning: Linear Algebra

By Jack B

Sep 16, 2021

A really good course. If you go back when you need to you should understand everything in this course. If you want to visualize some of this stuff I recommend checking out 3blue1brown's linear algebra series on Youtube.

By Vashista V

May 15, 2020

I can now look at Linear Algebra in a completely fresh perspective from an application stand point. The course was neatly mapped out and I really benefited from the excellent content provided by Imperial College London.

By Jim

Feb 10, 2022

I took this course because I struggled with Strang's 18.06. Although it only took less than 2 weeks to finish all the materials, It helped me a lot.

I'm now back to Strang's and find it way more managable than before.

By Heikki K

Aug 13, 2021

Great refresher course for me. Have an MSc in engineering, but haven't used any of my math skills in over 10 years. Looking to brush up on data analytics, and this was a good starting point along with some statistics.

By Christophe L

Apr 12, 2020

Wonderful Diploma, amazing teachers.

Even a guy like me, a medical doctor socialized in Emergency Medicine, enjoyed a lot this course;

I can't wait to attend to Multivariate Calculus.

Thank you much for your amazing work

By Huang X

May 12, 2018

This course helps me a lot. I don't need to calculate the matrix by hand. I just need to get the concept of what is the matrix doing and use computer to calculate it. This is the most import thing I got in this course.

By Samuel S

Sep 25, 2021

Totally enjoyed all the clear and well-visualized demonstrations of calculations and techniques, along with the fun coding assignments and quizzes that really reinforced my learnings :) Thank you so much, Instructors!

By Christian S

Apr 17, 2021

Most certainly one of the best basic introductions into Linear Algebra you can get online. Be aware that the topics covered are very basic. Nevertheless, they will set you up with a solid understanding and intuition.

By Tze C L

Nov 27, 2020

Very intuitive and visual explanation of Linear Algebra compared to traditional math courses. This course focuses on the intuition and understanding of the fundamental concepts, rather than tedious rote calculations.

By Katyaini R C

Oct 12, 2020

I liked every part of this course. Yes, I'll need to practice to make the concepts sit better in my head... perhaps re-visit some of my 11th/12th grade textbooks as well. But it was a better starting point than most.

By Vinitha M R

Sep 27, 2020

Thank you all instructors for the efforts undertaken to develop such highly informative lectures with amazing graphics. It was really enlightening to visualize the various concepts we had studied during our academics

By Naveen D

Jun 7, 2020

Awesome course for linear algebra basics. I was able to visualize the subject and see how the concepts can be applied to real life applications. The videos were short, interesting, and informative. Great instructors.

By Harshit L

Apr 7, 2020

the basic concepts give you the right intuition on how things work in vectors and matrices.

I strongly recommend this course to the beginners in this field. especially the week4 and week 5 concepts are really helpful.

By Mateen S

May 11, 2019

Very good course for building your Linear Algebra foundation. If you are starting with Machine Learning then you should surely go through this course to build your intuition about what is happening behind the scenes.

By Fanele C

Nov 7, 2021

Sufficiently challenging introduction to linear algebra, with plenty of examples of applications to both real life data and machine learning. Definitely recommend if you want to strengthen your conceptual knowledge!

By Salem A

Jun 14, 2020

A simple background on linear algebra is useful to complete the course. It is not necessary, however, because the instructors are going to teach you everything you need in a clear and concise manner which was great.

By Paulina A

Feb 5, 2023

Me pareció un buen curso, explican la teoría de tal forma que entiendas los conceptos y no solo la parte matemática. También me gustaron los ejercicios porque me ayudaron a entender mejor y saber aplicar la teoría.

By Sanjay G

Mar 7, 2020

If you are thinking/looking to do your career in machine learning or want to brush up your linear algebra concept and how this is used in Machine learning, then this course must consider or added to the to-do list.

By Jun J T

Nov 29, 2019

i really enjoyed the short and concise lessons and the notebook exercises to summarise and put to practice all the learning after the end of each week. Content is easy to understand and follow。 Thank you Imperial!!

By Saurav K

Jan 4, 2019

This is an amazing course. With right blend of assignments and quizzes . The lectures are very clear and nice examples have been used to simplify the content to an extent that any one can easily grasp the concepts.

By JISHNU B

Dec 7, 2018

This is a very good course - less of symbols and more of intuition,which is more important in applications. Profs are excellent communicators - even if you zero knowledge of the subject - you will get 100% of it...

By MD. S S 1

Jul 27, 2020

Some of assignment problems were really challenging: especially in the Eigenvalue problems, in 5 th module. If anyone listen every single word of the instructor, he will definitely overcome. Very concise lectures.

By Sumedh K R

Apr 19, 2020

The course provides focuses on developing intuition to understand the math required to solve problems with only a fair amount of hand calculations. Looking forward to completing the courses in this specialization!

By 高宇

Jun 20, 2019

This course is designed at a good structure and show me many intuitives on linear algebra. It does not need heavy hand calculation, instead, it brings me into the underlying zen and to a fast track of application.

By Christos P

Aug 11, 2022

I rate 5/5 because I really learned from this, BUT at week 5 please explain the topics more clearly and have more to-the-point tasks, because I had to search at google and youtube for many hours to understand.