Jul 17, 2018
This is one hell of an inspiring course that demystified the difficult concepts and math behind PCA. Excellent instructors in imparting the these knowledge with easy-to-understand illustrations.
May 01, 2018
This course was definitely a bit more complex, not so much in assignments but in the core concepts handled, than the others in the specialisation. Overall, it was fun to do this course!
par Xin W•
Sep 06, 2019
This course is full of mathematical derivation, so it is kind of boring.
par Jiaxuan L•
Jul 15, 2019
Overall a good course. Very limited introduction to Python though.
Feb 04, 2019
par Clara M L•
May 01, 2018
Not as good as the other two courses but still very intuitive
par Ashok B B•
Feb 06, 2020
Course was challenging , but learned the maths behind PCA,
par Cesar A P C J•
Dec 23, 2018
Good content, just need to fix the assignments' platform.
par Sharon P•
Sep 25, 2018
Mathematically challenging, but satisfying in the end.
Feb 11, 2019
great material but explanation are a little bit messy
par Kwak T h•
Jul 27, 2019
Good but slightly less deeper than the other two
par Eddery L•
May 24, 2019
The instructor is great. HW setup sucks though.
par Romesh M P•
Jan 16, 2020
Too much non-video lectures (lot to read)
par Mark R•
Jan 22, 2019
Good, short, overview of PCA
par Changxin W•
Jan 28, 2019
Many errors of homework
par Sammy R•
Dec 25, 2019
Needs more details
par Mark P•
Jul 30, 2019
This course had a lot of potential but there were a number of inconsistencies, cut/paste comment bugs, that make it more challenging than it needs to be. The comments in the notebook exercises should be triple-checked with the text above to ensure consistency of variables. Far too often these would be mixed up, or the input/output descriptions would be incorrect. Or the unit test would have different dimensions. Lectures often left out steps - e.g. "because of orthonormal basis, we can simplify and remove a bunch of terms" - how exactly? A extra few seconds of explanations would allow students to follow more closely. Notation in lectures is sloppy - sometimes terms would be missing and then the video would quietly cut to a correction. "j's" and "i's" indices were interchanged frequently making the derivations how to follow. Also, this isn't a course on unit testing - some more tests should be included to help students debug individual functions rather than relying on the final algorithm (e.g. PCA to work). It should be explained why the "1/N" term for XX^T is not necessary even though it's in the lectures. On the plus side, the added written notes were welcome and fairly well done.
par Philippe R•
May 16, 2018
Very mixed feelings about this course. First three weeks are OK, but going from week 3 to week 4 is like a HUGE step in difficulty if you really want to follow it all. Which is a pity because week 4 is the whole purpose for the course!
I learned "some" about the subject, but not to the level that I can say I understand it fully.
The assignments are OK, but the instructions are not always all that clear, leaving you at times wondering what is expected from you. And not that it is specific to this course, but the grader feedback is not all that helpful. If that is the only information you rely on to figure out where you may have gone wrong in a programming assignment, fixing your mistakes is likely to take quite some time.
All in all, an "OK" course, but not one that I would take again. I will most likely resort to other sources to get a better understanding of the subject.
par Piotr G•
Apr 23, 2018
This course is overall good in terms of the accuracy and obvious deep knowledge of the tutor. However, after the first two modules of this course I expected a completely different approach with way more conceptual thinking than writing proofs and long derivations which can be found on Wikipedia and other websites. It seems to me that there is a clear mismatch between the styles of the first 2 modules and the 3rd course. I'm giving it only three stars because this is not what I expected, I signed up for this track to gain additional conceptual overview of how maths in many machine learning applications works on high level. On the other side though, the assignments and quizzes were harder in this course which is a big plus.
par Ben H•
Aug 20, 2019
This course had a lot of potential, but unfortunately the pacing, structure, and teaching was not up to the standard of the other two courses in the specialisation. The teacher is clearly very knowledgable about his subject, and seems like a really nice person, but delivers the material in a very direct, formal mathematical style. This makes it much more difficult to gain intuitive insight into the subject matter.
Given the level of the past two courses, this felt like way too big a leap. Don't get me wrong — this course is still worthwhile, but could use some refining.
par Nont N•
Sep 25, 2019
I am a bit disappointed by this course. The professor didn't do much to help learner understand what's the meaning of the math we are looking at. Much of the quiz is just math grinding. The programming assignment require a lot of my effort in programming, but not much on math.
I'm not saying that this course is very bad, but Compare to the previous 2 course in the Math for ML specialization, provided by the same university, this one is obviously inferior.
par Weijie D•
Nov 23, 2019
This is a terrific course, but week2 and week4 programming assignments are disappointing. If there is only one thing to improve, that must be step-by-step feedback.
I know it is important to write test cases on our own, while it is of no use if there are so many things to figure out and we cannot know which particular step where we are stuck.
Not to mention typos in the code provided in hw2
par Loc N•
Jan 14, 2020
This course feels like a spin-off from the previous two courses in the series. The materials are repeated and feels conflicting with the foundations set by the previous courses. A lot of the times, the assignment are not difficult in execution, but are unclear in requirements, making the process confusing instead of intellectually fulfilling - even after having solved the assignments.
par Nigel H•
Apr 18, 2018
I want to give this course a higher rating but I was disappointed; the production standards are as high as ever but the assignments are a bit heavy on the Python. If you are inexperienced in coding Python you may be in trouble. This is not the case for the first two courses of this specialisation. If it is the maths that concerns you .. you are in safe hands. very well taught. Thanks
par Chi W•
May 19, 2018
Really hard to be a fan of this course. The lectures are simply lists of formulas and theorems without few examples. And the quizzes must be made out by a Chinese, as its purpose is not testing how much you have understood the course but how careful you are instead and even if you have a powerful calculator. Hope the stuff can give us more examples and quizzes not so tricky.
par Prashant D•
Feb 17, 2019
The lecturer is good and probably has a very good understanding of the mathematics. However if you are looking for a light and easy course, then this one is not for you. The mathematics is sometimes difficult to follow and although the lecturer patiently explains the derivation of the results, I had to go back and forth a number of times to understand what was happening.
par francesc b•
Jun 02, 2018
I found hard to follow the mathematical proofs, and without a clear step by step formula sheet the last assignment was very hard. All in all I found the course very useful, although I would have liked more intuitive comprehension rather than deep mathematical comprehension. The previous two courses I think matched the balance. Potentially this was not possible for PCA?