Great course to develop some understanding and intuition about the basic concepts used in optimization. Last 2 weeks were a bit on a lower level of quality then the rest in my opinion but still great.
Very Well Explained. Good content and great explanation of content. Complex topics are also covered in very easy way. Very Helpful for learning much more complex topics for Machine Learning in future.
By arnaud j•
The course is still a bit young, some errors appear here and there sometimes, and some parts of it are a bit steep.
Otherwise, this is a good course, focused on derivatives.
By Prathamesh P C•
They should explain concepts in detail. They just explained really tough concepts in 5 min and gave much much harder assignments which was really frustrating at many times.
Practice makes about 65% of this course, 3Blue!Brown and Khan Academy are indispensable in this course too. The course is more like an overview than an in-depth study.
By mayank d•
1.Week 5 should be taken in separate module dedicated to statistics.
2.The duration of course can be increased.
3. Week 3 and week 4 can be made more detailed
By Dominik K•
Very good course but especially while approaching the end of the course some steps are being skipped or not explained entirely which can be a bit confusing
By Venkatavishnu T•
This course is a good refresher, bringing all the important aspects and how it can be applied for machine learning also combining with linear algebra
By Satpal S R•
This was a great course for learning multivariate calculus required for Machine Learning. I am thankful to the creators of this awesome course.
By Angelo S d O•
Nice refresher! Excellent instructors! Not recommended as a first Multivariate Calculus course though. I would go for MIT OpenCourseware first.
By Viacheslav P•
Good course, but some things seem to be not well discussed and explained, I had to refer to another resources to understand what's going on.
By Patrick F•
Really good course, would recommend! 4 Stars, because there is no written transcript with the Formula and examples in the videos available.
By Valentinos P•
A very nice course that builds your intuition in Multivariate Calculus and also introduces you to some basic consepts in machine learning.
By Aman A•
This was a very succinct and comprehensive course and at times I felt a bit fast paced and consequently the assignments harder to solve
By Vikram N•
Good course. Clarity of content in the last two weeks (i.e. weeks 5 and 6) can be improved. Overall a fantastic learning experience.
By Rachel Z•
Excellent course overall. I really enjoyed the sessions taught by Sam Cooper. He explains concepts very clearly...great teacher.
By Prashant D•
Good course. The lecturer uses a number of illustrations and has a nice easy style to explain the key ideas. Overall enjoyable
By Mason C•
Great overall, but some of the teaching falls short of clarity, too much hand waving, and programming exercises can be obtuse.
By Kailash Y•
This is a nice course for beginners, as it relies on intuition for the explanation. Also, this has very interesting exercises.
By Leong H•
it is pretty good for week1 to week4, but week5 and week6 are too complicated, I think the course should explain more details.
By Sachitha V S•
course was great and interesting however some topics were need to explain more thoroughly little bit difficult to understand
By Stanislav B•
Can be hard in some parts. But it's not instructors fault as they had to put a lot of material into relatively short course
By Daniel P•
Interestin to refresh notions you already learned. Probably a bit difficult if you're totally new to multivariate calculus
By Wendy N•
Sometimes I need more explanation, I needed to find another resources to clarify what I haven't understood at that time.
Feedback on assessment could be improved, and there could be more practice questions relevant to the final assessments
By Jose V R•
I think I've improve my understanding of mathematics for ML, mainly, I've understand much better the concepts involved
More focus on concrete data centric machine learning instead of abstract function definitions would have been helpful