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.
Relatively tougher than previous two courses in the specialization. I'd suggest giving more time and being patient in pursuit of completing this course and understanding the concepts involved.
By Camilo J•
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.
By Ibe L•
Very challenging at times, but very good course none the less. Would recommend to any one who has a solid foundation of Linear Algebra (Course 1) and Multivariate Calculus (Course 2).
By Zhou W•
Fascinating course! The lecturer gives very detailed illustrations to many complicate concepts. It will be much better if the submitting systems work fine for the last assignment.
By Stanislav B•
Rather difficult course and will probably reqire to watch additional video-explanations on YouTube as well as studing math notation, etc. Otherwise, helpfull and comprehensive.
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.
By Tarik R•
it's very fantastic course.i enjoyed a lot.i feel reading material should be increases in those courses,others things are perfectly ok.thanks for offering this courses.
By Abhishek P•
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.
By Hadhrami A G•
The course is generally good but the assignment setting definitely needs to be rectified. Thanks anyway for this course. An important element of machine learning.
By Liang S•
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.
By Kevin E•
Overall the course was great. The only thing was that there was a lot I didn't understand from the videos. The recommended textbook resource was a great help.
By Ezequiel P•
The other two courses were much more didactic. And there were some bugs in these courses assignments... But, overall, it was a great course on the subject
By Mohamed B•
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.
By Rok Z•
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.
By Jordan V•
Course addresses important subject, but I worth like to have more in-depth explanation of the mathematics by the instructors and more examples.
By Kevin G•
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.
By Helena S•
The final Notebook contains some errors (Xbar instead of X, passed as an argument). Otherwise a very well organized course. Thanks a lot!
By Giri G•
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
By Leon T•
Jupyter notebook assignments are in desperate need of attention! Very buggy or non-intuitive for the scope of material in span of time.
By Christine W•
Coding assignment is hard for people who are not familiar with numpy. Would appreciate some material at least going over the basis.
By Shaiman S•
Please change courese material for PCA. It is very un-understandable and assignments are also very tugh as per what is taught.
By Karan S•
Focus a bit more on PCA in week 4, week 1 was not very informative and should be assumed as required knowledge for the course
By Hilmi E•
Careful, step-by-step construction of the PCA algorithm with practical exercises and coding assignments.. Very well done...
By Voravich C•
The course level is very difficult and I think having four week course is not enough to understand the math behind PCA
By Phuong N•
That's a great online courses can help people have enough background to break into Machine Learning or Data science
By Ananthesh J S•
The PCA derivation part requires more elaborate explanation so that we can understand the concept more intuitively.