6 de jul. de 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.
16 de jul. de 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.
por UMAR T•
10 de mar. de 2020
Excellent course it helps you understanding about linear algebra programming into real world examples by programming in python.
por Giorgio B•
18 de mar. de 2022
The leadup to PCA was needed and thought clear. I now have a better understand of how projections and inner products work.
por Josef N•
14 de may. de 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.
por Teiichi A•
5 de ago. de 2021
Challenging, with a lot to fill between the topics. Was shown how much further I can learn, which I am really grateful.
por Dora J•
3 de feb. de 2019
Great course including many useful refreshers on foundational concepts like inner products, projections, Lagrangian etc.
por Trung T V•
18 de sep. de 2019
This course is very helpful for me to understand Math for ML. Thank you Professors at Imperial College London so much!
por Mukund M•
24 de may. de 2020
Professor Deisenroth is amazing. Very tough course but appreciated all the derivations and explanations of concepts.
por David H•
21 de mar. de 2019
It was challenging but worth it to enhance the mathematic skills for machine learning. Thanks for the awesome course.
por Lee F•
28 de sep. de 2018
This was the toughest of the three modules. It gave me a strong foundation to continue pusrsuing machine learning.
por Nileshkumar R P•
6 de may. de 2020
This course was tough but awesome. Lots of things i learnt from this course. Great course indeed and worth doing.
por Carlos J B A•
17 de may. de 2021
Undoubtedly one of the best courses I have taken on mathematics for Machine Learning with world-class teachers.
por Kuntal T•
15 de feb. de 2021
one of the best course to learn whats happening in machine learning and how it make sense through mathematics.
por 037 N S•
30 de jul. de 2020
The PCA part Was a bit tricky barely handle the concepts.
thank you imperial team for such interactive course
21 de ago. de 2019
One of the most challenging course in my life - almost impossible without python and mathematics background.
por Javier d V•
25 de jun. de 2021
Great course. An intermediate mathematical background is requiered. This is a strength in terms of learning
por Pratama A A•
25 de ago. de 2020
Need more Effort to grasp the materials explained_-" you need to be patience,the lecturer is really on top
por Nelson S S•
29 de jul. de 2020
Excellent course ... Quite challenging, a little difficult but I have learned a lot ... Thank you ...
por sameen n•
6 de sep. de 2019
Amazing course and provides basic introduction for the PCA. Need for programming help in this course.
por Brian H•
24 de feb. de 2020
Great course. I appreciate the rigor and clear mathematical explanations provided by Dr. Deisenroth.
por Natalya T•
25 de feb. de 2019
exellent course! nice python wokring enviroment and very good explanation at each topic. thank you!
por Aishik R•
18 de ene. de 2020
Excellent and to-the-point explanations, useful assignments to make the concepts etched in memory
por Haoquan F•
13 de feb. de 2022
It's overall wonderful but the week 4's programming assignment really struggled and confused me.
por KAMASANI V R•
20 de jun. de 2020
This course helped me in getting a deeper knowledge on Principal Component Analysis. Thank You.
por Wei X•
16 de oct. de 2018
concise and to the point. Might want to introduce a bit the technique of Lagrangin multiplier
por Fab V•
31 de jul. de 2022
A fascinating course letting people explore the beauties of Mathematics and Machine Learning