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.
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 XL T•
Apr 3, 2020
It is a bit difficult and jumpy. You will need some hard work to fill in the missing links of knowledge which not explicite on the lectrue. Overall, great experience.
By Camilo V F•
Jul 20, 2022
Really clear and well explained. The concepts are treated in detail enough to be applied. Very happy to have invested my time in this course. I strongly recomend it.
By Fabrizio B•
Oct 31, 2020
Definitely the most challenging of the course making up this specialization. Finishing it with full scores is proportionally far more satisfying!!! Well done Marc!
By Prut S•
Aug 16, 2021
The content was challenging but very well structured. It is nice to understand the mathematics behind it rather than just blindly using PCA in your projects.
By S J•
May 3, 2020
Your Teaching and Video quality is par excellence.....Thanks a lot for such amazing stuff...I am looking forward to joining more courses in the same line
By Bui V H D•
Dec 16, 2021
I think it is the best hard in 3 course of the series, but It give many new knowlegde and build a mindset with math for machine learning.
By Christine D•
Apr 14, 2018
I found this course really excellent. Very clear explanations with very hepful illustrations.
I was looking for course on PCA, thank you for this one
By Ananta M•
Apr 20, 2020
Although the course was little out there and the instructor was trying his best to articulate a difficult topic, the overall experience is great.
By qwer q•
Jun 24, 2018
Nicely explained. Could be further improved by adding some noted or sources of derivation of some expressions, like references to matrix calculus
By Xiaoou W•
Nov 21, 2020
great content however the programming part is too challenging for people without propre guidance in the subject. the videos aren't of much help.
By J A M•
Mar 21, 2019
Solid conceptual explanations of PCA make this course stand out. The thorough review of this content is a must for any serious data researcher.
By Amar n•
Dec 11, 2020
Just Brilliant!!! Very well structured with very clear assignments. Doing the assignments is a must if you want to get clarity on the subject.
By Sateesh K•
Sep 24, 2020
This course should be part of "gems of coursera". Excellent specialization, thoroughly enjoyed it. For me the 3rd course on PCA was the best.
By Moez B•
Nov 24, 2019
Excellent course. The fourth week material is the hardest for folks not comfortable with linear algebra and vectorization in numpy and scipy.
By Hasan A•
Dec 30, 2018
What a great opportunity this course offers to learn from the best in this simplified manner. Thank you Coursera and Imperial College London!
By Duy P•
Sep 24, 2020
Excellent explanation from the professor!! Besides he is the author of the book Mathematics for Machine Learning. You should check it out.
By Alexander H•
Jul 30, 2018
Highly informative course! Loved the depth of the material. Found this course content highly useful in my current project based on PCA.
Oct 29, 2021
I liked how practical this course was. The programming assignments were really beneficial for a deeper understanding of the material.
By Prabal G•
Oct 21, 2020
great course for mathematics and machine learning...A big thanks to my faculty to guide like a god in this applied mathematics course
By Jason N•
Feb 20, 2020
A lot of reading beyond the video lectures was required for me and some explanations could be more clear. Overall, a great course.
By Rishabh P•
Jun 17, 2020
Well-detailed course and straight to the point. I enjoyed the course even though the programming assignments can be challenging
By UMAR T•
Mar 10, 2020
Excellent course it helps you understanding about linear algebra programming into real world examples by programming in python.
By Giorgio B•
Mar 18, 2022
The leadup to PCA was needed and thought clear. I now have a better understand of how projections and inner products work.
By Josef N•
May 14, 2020
It would be great if the course is extended to 8 weeks, with the current week 4 spanning at least 3 weeks. Otherwise great.
By Teiichi A•
Aug 5, 2021
Challenging, with a lot to fill between the topics. Was shown how much further I can learn, which I am really grateful.