DP
Nov 25, 2018
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.
SS
Aug 3, 2019
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 Armen M
•Apr 22, 2020
It was a very hard course
By Elnur M
•Mar 24, 2020
Didn't like last two week
By Manuj M
•Jun 10, 2020
Professors were awesome
By danthedoubleD
•Mar 14, 2019
hopefully it is useful
By Philip A
•May 16, 2019
Excellent Instruction
By Kamlesh K
•Jun 19, 2020
It's just amazing.
By Dr. T C
•Jun 19, 2020
Very Good Course
By Jannatul F A
•Apr 28, 2020
Its very helpful
By raghu c
•Apr 2, 2020
Less detailing
By Stathis
•Oct 19, 2019
Good refresher
By Suyoun K
•Sep 15, 2021
Good Course.
By Alfian A H
•Mar 22, 2021
Very good
By hemant k
•Dec 17, 2018
Its good.
By henry c
•Jan 19, 2020
It is ok
By R. D B D
•Mar 7, 2021
so hard
By MUTHUKUMAR P
•Sep 26, 2021
Good
By Prof(Dr) S R
•Aug 24, 2019
nice
By Monhanmod K
•Oct 10, 2018
g
By Tony J
•Aug 19, 2020
Pretty good in terms of material covered. This course does a much better job of balancing what you should know vs pace than the linear algebra course (which breezed through or skipped a couple concepts that made it difficult to complete assignments or subsequent lessons).
Both courses so far would really benefit from another couple turns at the wheel in terms of polish, making sure that concepts are covered adequately and nothing is lost in the gaps. Also there is room for more and better 'further reading' pointers for those who are interested.
The biggest issue in both courses so far is the discontinuity when the lecturers (for whatever reason) switch in the last 2 weeks of the respective courses. Things seem to get lost or forgotten.
For example, in this course there's no mention in week 5 of how the previous week's topic relates to the material being covered, even though in the assignment there is a very interesting application of the topics in week 4 being presented, but it's completely hidden. And, judging from the forum posts from that week, the vast majority of students missed that insight.
I'm not sure why this course hasn't received any updates since it launched over 2 years ago. It's rough in more than a couple spots, but it could polish up really nicely.
By Maksim U
•Jan 3, 2019
I did learn quite a lot throughout the course. The problem is that most of my knowledge came from elsewhere while the explanations by the course instructors were quite unclear till I referred to extra resources. At the same time, some other explanations were on the obvious side, so I'd say the instructions are kind of inconsistent in their difficulty. The real-life examples were relly good though. The same concerns the quizzes, some are absolutely great and intuitive, while the others just leave you puzzled about what you are even expected to do with no extra info offered when failed.
The course is kind of sloppier than the first one and the reviews say the third one is even worse, so I won't be doing it.
Finally, I cannot even complete the last graded assignment and get my certificate as well as some other learners because the thing just throws an error all the time. There is zero reaction from the crew that is supposed to be moderating the forums.
All in all, a fine "guideline" course. But do not expect to be presented much inside the course itself.
By Pritam D
•Sep 13, 2020
While the topics covered in the course are good, the depth and clarity with which each topic deserves to be explained, remains unfulfilled. The lectures are easy to understand, but sometimes you'll have to jump to other resources to get a better understanding of the topics covered. The difficulty of assignments is relatively very high, compared to their respective lectures.
Moreover, I feel that categorizing this course as a "beginner" course is somewhat questionable, as a complete beginner will face a lot of hurdles, given the number of new topics introduced in each lecture, the succeeding (often difficult) assignment, and the brevity of explanation. This course is more of an intermediate level, and some prior experience of Multivariate Calculus is required. I personally had glazed over Multivarious Calculus during my undergraduate, and even with that background, the difficulty seemed frustrating. For me, other resources, such as 3blue1brown youtube videos and Grant's KhanAcademy videos were necessary to complete the course.
By Leandro C F
•Mar 22, 2021
I've took the first course about linear algebra and it was brilliant. Unfortunately I did not have the same impression on this course.
The contents of the course is very important, but some topics were covered very quickly and superficially.
I also noticed that many people liked the first instructor, but for me the fact that he emphasizes one in every four words annoyed my learning experience. I spent more time paying attention in the emphasis than in the contents.
By Harsh D
•Jun 14, 2020
After the first course of the series, I expected more out of this. Certainly, the course covers basics but there's a gap in between the weeks. May be it was done to ensure the course could be restricted to 6 weeks, but then again course 3 is just 4 weeks. Not sure what happened there, this one certainly requires restructuring.
For Imperial College: If you would like to know what I am talking about, please go through the discussion forums.
By Paul F
•May 10, 2020
Towards the end, you see that the lecturers and the Team lost their motivation for a bit. Explanations are done very quickly and the exercises lack proper programming. The last one for example can't be passed if you write the functions in two different cells (as it is displayed in the workbook when you start), you need to copy them to one cell. This is really badly designed.