WS
Jul 6, 2021
Now i feel confident about pursuing machine learning courses in the future as I have learned most of the mathematics which will be helpful in building the base for machine learning, data science.
JS
Jul 16, 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.
By Lotachukwu I
•Jun 27, 2020
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
•Oct 4, 2020
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 Faisal k
•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.
By Tarik R
•Sep 10, 2020
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
•Sep 9, 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.
By Hadhrami A G
•Jun 7, 2020
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
•Jul 9, 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.
By Kevin E
•Aug 27, 2020
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
•Sep 26, 2020
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
•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.
By Jorge L C T
•Sep 5, 2021
The explanation of the model is very precise but there are unnecesary comments for PCA omit the comments related with std in the final assignment
By Rok Z
•Feb 5, 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.
By 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.
By 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.
By Helena S P
•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!
By Giri G
•Jun 7, 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
By Leon T
•Jul 10, 2020
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
•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.
By HÆ°ng P
•Mar 9, 2022
The lecture & instructor are great. But the grader in the assignments really needs revisions. It caused lots of unnecessary stress
By Shaiman 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.
By Karan S
•Aug 1, 2020
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
•Apr 20, 2020
Careful, step-by-step construction of the PCA algorithm with practical exercises and coding assignments.. Very well done...
By 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
By Phuong N
•Oct 17, 2018
That's a great online courses can help people have enough background to break into Machine Learning or Data science
By Ananthesh J S
•Jun 16, 2018
The PCA derivation part requires more elaborate explanation so that we can understand the concept more intuitively.