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!
創建者 Вернер А И•
Mar 18, 2018
Very tough course because of the programming assignments. Material was sometimes taught in a non-clear and deceiving way, e.g. covariance matrix of a dataset. Nevertheless, the course is good and covers lots of important details.
創建者 SUJITH V•
Sep 28, 2018
This is a great course. It covers the topic in good amount of detail. I have enjoyed this course a lot and it also made me think deeper at a lot of places. I am motivated to go and do more work on related topics now.
創建者 João M G•
Aug 14, 2019
The course was great till the final week. The lectures did not explain very well the concepts and the assignment was poorly designed. It's a shame because I've loved the more rigorous way of this final course.
Aug 29, 2019
I think it's really a hard lesson for me, but I've also learn a lot, thanks a lot for the teacher and coursera. Some Programming test take too long to execute, and there are some errors in it. just be careful
創建者 Suyog P•
Sep 02, 2019
Finally understood basic intuition of PCA, never got perfect resource before. However, there was a sharp change in terms of course delivery than the previous two courses of this specialization. So, heads up.
創建者 Camilo J•
Mar 01, 2019
Great capstone for the three-class Mathematics for Machine Learning series. Assignments were way harder and programming debugging skills had to be appropiate in order to finish the class.
May 28, 2020
Course content is interesting and well planned, Can be improved by making it Simpler for Students as it was more technical than the other 2 courses of the Specialization.
創建者 Abhishek P•
Sep 09, 2019
Course content tackles a difficult topic well. Only flaw is that programming assignments are poorly designed in some places and are quite difficult to pick up at times.
創建者 Liang S•
Jul 09, 2018
Teaching pacing is good, and clear in explanation. It will be good if there are some examples about how we should apply all these theories to some real problems.
創建者 Mohamed B•
Oct 27, 2019
I learned a lot in this course, though the last week was somehow hurried and the lecturer didn't spend enough time to piece the whole stuff together.
創建者 Rok Z•
Feb 05, 2020
A different course than the previous 2.
Much harder - as you have to actually know some Python tricks.
But I guess it's the same in a real world.
創建者 Jordan V•
Aug 23, 2019
Course addresses important subject, but I worth like to have more in-depth explanation of the mathematics by the instructors and more examples.
創建者 Kevin G•
Jan 14, 2020
Felt like explanations in this course were a bit confusing, but otherwise, it was a very interesting course. Thank you so much for doing this.
創建者 Helena S•
Feb 28, 2020
The final Notebook contains some errors (Xbar instead of X, passed as an argument). Otherwise a very well organized course. Thanks a lot!
創建者 Giri G•
Jun 07, 2019
This was a very hard course for me. But I think the instructor has done the best possible he can with presenting and explaining the course
創建者 Christine W•
Aug 13, 2018
Coding assignment is hard for people who are not familiar with numpy. Would appreciate some material at least going over the basis.
創建者 Shaiman Z S•
Apr 30, 2020
Please change courese material for PCA. It is very un-understandable and assignments are also very tugh as per what is taught.
創建者 Hilmi E•
Apr 20, 2020
Careful, step-by-step construction of the PCA algorithm with practical exercises and coding assignments.. Very well done...
創建者 Voravich C•
Oct 21, 2019
The course level is very difficult and I think having four week course is not enough to understand the math behind PCA
創建者 Nguyen D P•
Oct 17, 2018
That's a great online courses can help people have enough background to break into Machine Learning or Data science
創建者 Ananthesh J S•
Jun 16, 2018
The PCA derivation part requires more elaborate explanation so that we can understand the concept more intuitively.
創建者 Manuel I•
Jul 07, 2018
Overall the hardest of the specialization, a though one but great to make sense of all the maths learned so far.
創建者 Shraavan S•
Mar 04, 2019
Programming assignments are a little difficult. Background knowledge of Python is recommended for this course.
創建者 Andrew D•
Jun 02, 2019
Very difficult course, make sure to do the prereq courses first and understand everything from those courses.
創建者 Ibon U E•
Jan 07, 2020
The derivations of some concepts have been more vague compared to other courses in this specialization.