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!
By Rafael C•
Sep 24, 2019
The Classes didn't give the knowledge to solve the assignments.
By 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.
By Shuyu Z•
Oct 18, 2019
The videos and instructions for the assignment are not clear.
By Matan A•
Oct 20, 2019
The is a lot of gap from what the lecturer learn and what the assignments requires.
Nov 06, 2019
Math for the sake of math. Too big jumps in calculations, too complex.
By Lucas O S•
Nov 07, 2019
Classers are good. However, the exercise platform is full of bugs. Notebook keeps disconnecting, making it unable to save the latest changes. The automatic grader requires a very specific implementation in the last notebook, which is not mentioned anywhere and can you make lose hours debugging an implementation that is otherwise correct.
By Xin W•
Nov 12, 2019
To me, the first 3 weeks in this course is good. But the 4th week is quite confusing. And I don't understand the applicable meaning for the materials in the 4th week. I may need to review what I learned in the 4th week and then decide whether I understand it completely.
By 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
By Sean W•
Nov 25, 2019
Notebook extremely buggy
By amit s•
Feb 08, 2019
Unlike the prior courses in the series, topics not clearly explained and brought too sudden. Also none of calculations shown completely, instructor just wrote results in the end. Due to all these reason I was not able to finish the course.
By Kevin L•
Sep 11, 2018
The course assignments could be improved dramatically, though the course itself has very good content if you want to have a taste of how linear algebra (predominantly) can be implemented to solve machine learning problems.
By Vignesh N M•
Sep 12, 2018
Explaination of many things are skipped, assumption was made by the instructor that lot of things were already known by the learner. It could have been much better.
By Daniel U•
Sep 27, 2018
Programming assignments seemed to be written from a completely different direction, and instructions are vague and misleading. (The math assignments were not so bad.) There was no staff or mrntor engagement in the forums during the period of the course.
By Nouran G•
Oct 11, 2018
Course is inconsiderate to new learners in that new concepts were very sloppily introduced. Like the first two courses of the specialization, this course is shallow, shouldn't be anyone's introduction to the subject and is a refresher at best. Unlike the other two courses, it assumes python knowledge, doesn't explain relevant syntax in the assignments; which made me take a lot of long unnecessary detours to get the python implementation right.
By Marvin P•
Apr 24, 2018
After the other two awesome courses of the specialization this one stays far behind my expectations. Weakest course of the specialization. Instructor is obviously knowledgeable but does not provide much intuition. Programming assignments are really difficult and at many points frustrating. 2 more weeks and therefore comprehensive instructions would be desirable. Couldn't appreciate that course as much as I wanted to.
By ABHI G•
Aug 22, 2018
not so good
Jul 28, 2018
Video lecture not as intuitive as previous courses.
By Mark C•
Jul 31, 2018
Only on week 1 but this is already a disappointment compared to the first two classes in the Math for ML series which were excellent. Some content is presented too fast. Quiz questions are ambiguous. I already paid for the class so I will finish the content but not worry about passing quizzes and assignments. Had I known it would be like this I wouldn't have paid for it. Check out the other reviews and forum discussions to see what others think.
By Michael D•
Jul 22, 2019
After having done the first two parts of the specialization, I am afraid this one didn't stand up to the high quality bar the previous two had set. The programming assignments are unnecessarily long and complex and the overall material is not as engaging, connected and concise. I might give it a good rating as a standalone but now I can't avoid comparing it to the other two parts of the specialization.
By Xiao L•
Jun 03, 2019
very wired assignment, a lot of error in template code. The concept is not clear.
By Max B•
Aug 14, 2019
Pretty bad all around.
The teacher keeps throwing formulas without taking the time to explain why they are useful, and what they represent.
The first two courses were really good, and this one is a bummer.
Most of what I learned was learned elsewhere, the course acted as a detailed syllabus with some practice quiz (of relatively poor quality).
It's still worth taking if you completed the first two courses and want the specialization certification.
By Tobias T•
Jul 14, 2019
If you like traditional lectures, which you go into a math class then feel puzzled, then go for it. Otherwise, the contents of this course are simply going through the mathematics equations and definitions, which can easily be found in textbooks. Ironically, the previous two courses in this specialization used lots of graphics and animations to help you understand the maths (either in terms of equation-wise or intuitively), this course completely lacks this element.
By Aravindan B•
Sep 24, 2019
Need to improve the content and delivery of content.
By Ivo R•
Nov 16, 2019
The theory is well explained and the level of complexity is very similar to a University course, but the assignment environment is buggy and the assignments are poorly designed and very frustrating.
By Michael B•
Nov 21, 2019
Programming assignments not well explained