Learner Reviews & Feedback for Mathematics for Machine Learning: PCA by Imperial College London
About the Course
Top reviews
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.
476 - 500 of 773 Reviews for Mathematics for Machine Learning: PCA
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 Hung 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.
By Manuel I
•Jul 7, 2018
Overall the hardest of the specialization, a though one but great to make sense of all the maths learned so far.
By Shraavan S
•Mar 4, 2019
Programming assignments are a little difficult. Background knowledge of Python is recommended for this course.
By Andrew D
•Jun 2, 2019
Very difficult course, make sure to do the prereq courses first and understand everything from those courses.
By Neelam U
•Sep 23, 2020
The programming assignments were quite challenging. Some part of the course can discuss this aspect as well.
By James M S
•Jun 10, 2023
some topic details were just put into readings instead of videos which made it harder than the previous 2
By Paulo N A J
•Aug 18, 2020
It is a good course with hard programming, but the assignments could be improved. The forum helps a lot.
By Ibon U E
•Jan 7, 2020
The derivations of some concepts have been more vague compared to other courses in this specialization.
By Max W
•Apr 19, 2020
Very challenging, could have used a few more videos to really explain or give a few more examples
By Abhishek T
•Apr 12, 2020
The structure could have been better. Some of the weeks were too crowded as compared to others
By Phuong A N
•Aug 7, 2020
very difficult course. But I hope that it will be useful fore my machine learning studying
By kerryliu
•Jul 30, 2018
still have room for improvement since lots of stuffs can be discussed more in detail.
By Ruan V S
•Oct 13, 2019
Harder than expected, the content is good and is well worth the struggle!
By Xin W
•Sep 6, 2019
This course is full of mathematical derivation, so it is kind of boring.
By Bintang K P P
•Mar 26, 2021
We need more basic example and exercise before taking graded assignment
By Felipe T B
•Aug 10, 2020
Computational exercises could have more support from the professors.
By Jiaxuan L
•Jul 15, 2019
Overall a good course. Very limited introduction to Python though.
By Chow K M
•Jul 28, 2020
Quite challenging. Need to keep notes for programming assignment.