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.
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.
By Jaromir S•
Sep 30, 2019
I needed a quick refresh of my prior knowledge of linear algebra for my MSc course and I wasnt disappointed. I also appreciated the complementary python exercises and the effort to put the material into a context of a real world application.
By Someindra K S•
Jan 3, 2019
I got a lot of intuition about some fundamental aspects of linear algebra. Rest of courses on maths was very rigorous in terms of methods. This was more inclined towards applications in machine learning. I enjoyed the entire learning process
By Stefan B•
Apr 8, 2018
It was fun to work through the course. Sometimes it was challenging as it has to be. Now I have a much better understanding of the topic. Especially appreciated is the approach of the instructors to build intuition: it worked for me, thanks!
By Souvik G•
Feb 8, 2021
I have never visioned mathematics the way it was taught here. I believe every Engineer may he/she be a an ML engineer or not must take this course to just fall in love of mathematics. This course will inherently motivate you to dig deeper.
By Danilo d C P•
Jul 19, 2019
I really enjoyed taking this course. I could review and learn for the first time some important topics for machine learning, in special the eigenvalues and eigenvectors classes. I'd like to thank the course's professors and collaborators.
By Omar R G•
Mar 17, 2019
An excellent course on the fundamentals of linear algebra. It was great revisiting all this topics. I would also say that some knowledge on linear algebra would be useful for taking this course given the fact that the lectures are quick.
By Felipe C•
Nov 29, 2020
Very good course. I liked it a lot. Some abstract thinking required. The last week is a bit less well explained but OK nonetheless.
In my experience, the estimated times for completing the work are a bit optimistic, it took me more time.
By Faisal S•
Jul 6, 2022
It is an excellent course that can help anyone with a little or no understanding of mathematics learn important concepts of linear algebra. It really helped me, especially the implementation of mathematics in python was really awesome.
By Ting-Yi C•
Jan 15, 2022
Excellent course. Best course for a beginner with fundamental math knowledge to start with linear algebra. But more advanced course might be needed if you really want to dig into the study of linear algebra as well as machine learning.
By Abdul-Rashid B•
Jan 6, 2021
Great lecturers, excellent delivery of subject matter. This course did not disappoint me. It provides a concise yet in-depth revision of linear algebra as is relevant to machine learning. Looking forward to more from these instructors.
By dhiraj b•
Apr 21, 2020
Offered the much needed perspective of linear algebra to develop actual understanding, than just solving problems without understanding why and how actual computation works. I would like to thank the professors for such a great course.
By Duraivelu K•
Apr 11, 2020
This course not only provided me the fundamental knowledge of Mathematics required to learn my next interested course of Machine Learning, but also helped me to kill the lockdown period due to covid-19 pandemic in a useful way at home.
By AKSHAT M•
Jul 19, 2020
Excellent course. Outstanding methodology. Great fun and intuition based leaning, kudos to David Dye, Sam Cooper and the ICL team. Thank you very much for bringing forward this course. Looking forward for many more courses from ICL :D
By Greg E•
Jul 15, 2019
I thoroughly enjoyed this course. After using matrices and vectors for decades in my work, I have finally gained some intuition about what the dot-product operation, determinant and eigen-vectors actually represent. Thank you so much.
By Jafed E G•
Jul 6, 2019
I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand
By Mark A C•
Nov 22, 2020
This course has provided me a better understanding of linear algebra concepts specifically on how eigenvalues, eigenvectors, matrices, and vectors can actually be observed or used in engineering (or even in day to day) applications.
May 20, 2020
It was a very good learning and I enjoyed a lot. Hoping to take the advanced level courses in Machine learning and related areas. Thank you very much Professors David dye, Samuel J Cooper and A Freddie Page. Hoping to see you again.
Apr 21, 2018
Awesome course!!! The course is very helpful for those who are willing to build an intuition of linear algebra. The coding assignments are a bit easy for CS students, but allow you to understand what has been taught in the course.
By Laura-Jane D•
May 13, 2021
An excellent introduction to the core linear algebra concepts needed to understand ML. I especially enjoyed the emphasis on how matrices transform vectors. It provided me a much stronger intuition of the geometry than I had before.
By David S•
Jun 24, 2019
Excellent. Exactly what I needed. A linear algebra course in machine learning. Top notch presentations, materials, and explanations. A nice blend of concepts and detailed calculations especially in transformations and eigenvectors.
By Shwetha T R•
Sep 14, 2020
I loved this course! Both Prof David Rye and Prof Sam Cooper were amazing and used brilliant techniques to ensure creative learning. I enjoyed the eigen vectors and values and pagerank algo module a little too much! Thanks a lot!
By PATHIRAJA M P H S•
Jul 12, 2020
The course contains very creative introductions to some of the linear algebra theories that I was already familiar with. Could get new intuitions and better, deeper understanding of those concepts. Really glad I took this course.
By Mohamed S•
Jun 26, 2020
I liked the course and huge number of exercises. Maybe my only problem is the academic form of the lectures that makes me lost sometimes and forces me to google for an Indian guy who can teach me the concept in a more easier way.
By Rahul S•
Oct 28, 2019
This course is little challenging if one has not revised Linear Algebra before, but quite interesting and fun given the examples and utility only after learning the basics of linear algebra elsewhere and then attempting this one.
By Bruno R S•
Jul 12, 2022
Excellent introduction to Linear Algebra and its applications. Some programming assignments are tricky (Python based) but they are workable. The instructors are very effective in explaining complex concepts in reasonable terms.