Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.
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.
Great course. The instructor is really great (and neat), communicates the ideas really well and if Imperial College London is ranked that high worldwide, it's definitely because they hire professors this good. Thank you.
автор: Vashista V•
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.
автор: Christophe L•
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
автор: Huang X•
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.
автор: Lee T C•
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.
автор: Katyaini R C•
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.
автор: Vinitha M R•
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
автор: Naveen D•
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.
автор: Harshit L•
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.
автор: Aero M•
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.
David, This is a message to you, introduce the vector sections f the course with a caveat on differences between how engineers handle vectors with how Mathematicians do, It will help to make course a little clearer.
автор: Salem A•
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.
автор: Sanjay G•
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.
автор: Linc T J J•
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!!
автор: Saurav K•
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.
автор: JISHNU B•
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...
автор: Md. S S•
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.
автор: Sumedh K R•
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!
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.
автор: Diego C•
The professors have done a terrific job at making linear algebra understandable -at an intuitive level-, applicable, and enjoyable. I'm confident this class will help me dive deeper into machine learning topics.
автор: Ahsan G•
The assignments were well designed. I have taken linear algebra as a part of my degree but this course really helped me understand the concepts and introduced me to the practical applications of linear algebra.
This course has explored the application of Linear Algebra in Machine Learning. Now only I understand the use of linear algebra. I am capable of now imparting the knowledge gained in this course to my students.
автор: Mike W•
Really good course for building an intuitive understanding of the concepts, as opposed to just rote memorization of formulas. Assignments also reinforce the concepts learned. Very relevant to machine learning.
автор: jim p•
While not particularly difficult material, course seems designed to build intuition more than just grinding tediously through the mechanics. Grounded in practical examples. And extraordinarily well presented.
автор: Clara M L•
I like how they are able to visualise everything.
Since I am good at understanding abstract concepts I didn't really have the need to visualise, so it was nice to get a different perspective on Linear Algebra.