2018년 8월 25일
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.
2018년 3월 31일
Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.
교육 기관: Jonathan F•
2018년 5월 20일
Excellent introduction. For me, as someone who had studied vectors and matrices at school, decades ago, it was wonderful to go back and re-learn this stuff in a different way. This course is much more focused on the meaning and usefulness of these things, rather than just learning how to do the maths. The first 3 minutes of the session on eigenvectors brilliantly showed in graphical form what they really are, something I'd never really grasped at school. Recommended.
교육 기관: Raymond I M J•
2020년 2월 2일
An excellent breakdown of linear algebra and the tools and processes that it takes to perform these operations. The lectures give you a good understanding of the concepts of vectors, scalars, dot product, matrices, and eigenvalues and vectors. I would highly recommend this course for anyone who is needing to understand how linear algebra can be conducted via computers, while still grasping the underlying concepts that make one proficient at linear algebra.
교육 기관: zachary k•
2020년 5월 10일
I had previously taken linear algebra, but this was a good refresher. The pace of this course is quite fast for 5 weeks, and the course does not dive into any proofs. It may be useful to get some outside supplements to get through the materials. I really enjoyed the way that the concepts were explained and presented such as eignvalues/vectors. They help provide some intuition instead of simply presenting the formula or grinding through proofs.
교육 기관: Nelson F A•
2019년 4월 25일
This is a great course! Be advised: It is very challenging and will kick your butt if you haven't seen much linear algebra before. The content in the course won't always be enough to solve all of the assignments. But look into the forums and use some other sources and you will succeed in this course. Overall I am glad I took it even if it will take a little longer until I can say that I master everything that was covered in the course.
교육 기관: Sébastien W•
2019년 6월 22일
The perfect dosage of the key elements in linear algebra to mastering the concepts of machine learning. The course leaves you with a clear intuition for vectors and matrices and how these objects can be manipulated, and most importantly why these objects are fantastic. I am an immunologist with a little background in machine learning and my last studies in mathematics taken 15 years ago, but this course has the perfect level I need.
교육 기관: Burouj A•
2019년 7월 6일
This course was like God-gifted.
I had just finished my 2nd sem at college(BTech) and we had Matrices in the syllabus so I knew how to calculate (just calculate -_-) eigenvalues, vectors and so on but I just saw them as numbers. At my college, we were not given such geometric insight and when I learned it through this course, MY GOD was I blown away.
I feel so lucky to have found this course! I learned A TON of stuff.
교육 기관: FRANCK R S•
2018년 4월 15일
I took a great pleasure to study this linear algebra course, teachers are very talented since their way to explain mathematical concepts make it very easy to understand , in fact with this particular amazing approach I changed my perception about learning math and sciences in general. I do recommend this course if you look for a global overview of linear algebra for direct application in machine learning or computer sciences!
교육 기관: Luka•
2020년 5월 16일
I enjoy attending this course. I consider this course really good, mostly due to a lot of intuitive examples about particular subjects of study, explanations that were clear and enthusiastic professors. Finishing this course gave me motivation to learn more about machine learning and mathematics that it's based upon.
교육 기관: Karandeep•
2020년 10월 9일
This course is great for those who want to understand the geometric meaning of linear algebra. Really loved the course videos and quizzes. Just one suggestion - Coding assignments should be bit more challenging as this course is targeted around ML, maybe some small Kaggle like project at the end of course.
교육 기관: Siddhant J•
2020년 4월 13일
Excellent, crisp and to the point. Instructors made the concepts way to easy to understand. Enjoyed my time learning from them and ofcourse relevant material was provided.
교육 기관: Michael P•
2021년 6월 27일
I think Professor David Dye's Linear Algebra video is the best course. It's much more clear, intuitive, and focused in the machine learning domain. I like it so much!!!
교육 기관: David S•
2021년 1월 1일
A good value, well organized, with many exercises for practice. Effectively uses visuals, and contains the occasional very creative example.
a) this course is not for the absolute beginner. You'll need secondary / high school math, and basic familiarity with python
b) understanding linear algebra at this level is a second year full semester course at university. So if you want to understand the concepts - rather than just get the certificate - be prepared to use outside resources and invest considerably more time than advertised. Some linear algebra topics are skipped (cross product), and others are not well integrated into the course (Einstein summation)
c) while linear algebra is central to understanding machine learning, there are very few machine learning applications in this course.
And finally a small annoyance: I wish the instructors would get out of the way of the whiteboard at the end, so I could get a screen capture.
Overall, a worthwhile course.
교육 기관: khaled W S•
2019년 3월 25일
totally enjoyed it. requires a bit of side research as any online course would. some of the quizzes were not directly related to the video that preceded them as one would expect. However, a fun course and covers a lot of important basics for it's relatively short duration.
교육 기관: JUNXIANG Z•
2019년 5월 17일
This course reviews the essential concept of linear algebra in the context of machine learning. However, it would be much better if it provided more optional exercise and reading materials.
교육 기관: Ralph T•
2019년 5월 4일
decent course. It gives a good enough background to understand the mathematics necessities of many areas of data science. could be more thorough and dive deeper into some of the content.
교육 기관: Mark J T•
2019년 8월 2일
Good course because it shows how to understand geometrically, things that I had hitherto only understood computationally.
교육 기관: Philip A•
2019년 5월 16일
교육 기관: Neel K•
2020년 5월 10일
For the most part, I enjoyed this course. Most of the math explained is fairly easy to understand. They cover the fundamentals of linear algebra, and provide plenty of assignments and practice exercises to test your knowledge. However, some of the video explanations are extremely confusing and feel rushed. For example, some videos in Week 4 and 5 like Reflecting in a plane using Gram-Schmidt and the PageRank algorithm were so hard to understand that I had to learn about them from elsewhere on the internet (I used MIT OCW a lot). This isn't very convenient, especially if you're paying for the course. Furthermore, I felt like more videos explaining the applications of linear algebra in machine learning could've been made, and the ones that were already made could've been made in more detail (for example, the term 'span' was never formally explained). Lastly, I would've loved it if there was another week dedicated solely to introduce the coding bit, because it's really difficult and takes a while if you have little or no prior experience in python. All in all though, I enjoyed this course, and I would recommend trying to complete both Linear Algebra and Multivariate Calculus in one month, because it's not worth paying more than that.
교육 기관: maytat l•
2019년 11월 20일
Challenging course. Much more difficult that I expected. It took me 7-9 hours a week. The overall course material itself was good building-blocks to further understand application of machine learning. However, explanation in some topics should have more detailed explanation and examples to further understand the concept. There were many times, I need to re-watch each video over and over again, paused it, and figured things out on my own. The programming assignments were the most challenging task. I just began to learn Python and found it very difficult because there were so many codes I haven't learnt before. I think for those who has not learnt Python at all may find really really difficult to pass the assignments.
교육 기관: Peter B H•
2019년 11월 26일
The content was good, but a couple of times what was said didn't gel with what was being drawn/written/done. Since I'm learning, this took me longer to double check when I misunderstood something whether it was the concept or a mistake in the delivery.
교육 기관: Pedro C O R•
2019년 8월 1일
The topics could be improved in the way they are presented. I always had to search for additional material.
However, the course is okay, it could be better, the forum is not that active, and some assignments are good.
교육 기관: kai k•
2019년 5월 5일
many of the activities are excellent, but videos hard to follow along to at times - play them at 0.75 speed if you can. Also, the faculty is not super responsive it seems on discussion boards creating some confusion
교육 기관: Girisha D D S•
2018년 8월 27일
Although the course content is good, I feel it could have been done better. I enjoyed the multivariate calculus course compared to this course.
교육 기관: Maximilian P•
2018년 12월 12일
Some exercises are completely incoherent to the preceding videos, which makes it very difficult to solve them. very frustrating
교육 기관: Dr. V N R•
2020년 12월 9일
Assignment makes frustration and not able to concentrate on teaching content