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.
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.
автор: Christine D•
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
автор: Ananta M•
Although the course was little out there and the instructor was trying his best to articulate a difficult topic, the overall experience is great.
автор: qwer q•
Nicely explained. Could be further improved by adding some noted or sources of derivation of some expressions, like references to matrix calculus
автор: Xiaoou W•
great content however the programming part is too challenging for people without propre guidance in the subject. the videos aren't of much help.
автор: J A M•
Solid conceptual explanations of PCA make this course stand out. The thorough review of this content is a must for any serious data researcher.
автор: Amar n•
Just Brilliant!!! Very well structured with very clear assignments. Doing the assignments is a must if you want to get clarity on the subject.
автор: Sateesh K•
This course should be part of "gems of coursera". Excellent specialization, thoroughly enjoyed it. For me the 3rd course on PCA was the best.
автор: Moez B•
Excellent course. The fourth week material is the hardest for folks not comfortable with linear algebra and vectorization in numpy and scipy.
автор: Hasan A•
What a great opportunity this course offers to learn from the best in this simplified manner. Thank you Coursera and Imperial College London!
автор: Duy P•
Excellent explanation from the professor!! Besides he is the author of the book Mathematics for Machine Learning. You should check it out.
автор: Alexander H•
Highly informative course! Loved the depth of the material. Found this course content highly useful in my current project based on PCA.
автор: Prabal G•
great course for mathematics and machine learning...A big thanks to my faculty to guide like a god in this applied mathematics course
автор: Jason N•
A lot of reading beyond the video lectures was required for me and some explanations could be more clear. Overall, a great course.
автор: Rishabh P•
Well-detailed course and straight to the point. I enjoyed the course even though the programming assignments can be challenging
автор: UMAR T•
Excellent course it helps you understanding about linear algebra programming into real world examples by programming in python.
автор: Josef N•
It would be great if the course is extended to 8 weeks, with the current week 4 spanning at least 3 weeks. Otherwise great.
автор: Teiichi A•
Challenging, with a lot to fill between the topics. Was shown how much further I can learn, which I am really grateful.
автор: Dora J•
Great course including many useful refreshers on foundational concepts like inner products, projections, Lagrangian etc.
автор: Trung T V•
This course is very helpful for me to understand Math for ML. Thank you Professors at Imperial College London so much!
автор: Mukund M•
Professor Deisenroth is amazing. Very tough course but appreciated all the derivations and explanations of concepts.
автор: David H•
It was challenging but worth it to enhance the mathematic skills for machine learning. Thanks for the awesome course.
автор: Lee F•
This was the toughest of the three modules. It gave me a strong foundation to continue pusrsuing machine learning.
автор: Nileshkumar R P•
This course was tough but awesome. Lots of things i learnt from this course. Great course indeed and worth doing.
автор: Carlos J B A•
Undoubtedly one of the best courses I have taken on mathematics for Machine Learning with world-class teachers.
автор: Kuntal T•
one of the best course to learn whats happening in machine learning and how it make sense through mathematics.