Отзывы учащихся о курсе Mathematics for Machine Learning: PCA от партнера Имперский колледж Лондона

Great course. I appreciate the rigor and clear mathematical explanations provided by Dr. Deisenroth.

exellent course! nice python wokring enviroment and very good explanation at each topic. thank you!

Excellent and to-the-point explanations, useful assignments to make the concepts etched in memory

This course helped me in getting a deeper knowledge on Principal Component Analysis. Thank You.

concise and to the point. Might want to introduce a bit the technique of Lagrangin multiplier

This was an amazing course, I really enjoyed it and learn a lot!

Thank you so much, greetings

I'm struggle with assigments of week 4 about implementing PCA. But, yeaah finally i got this

This course cleared so many concepts and enabled me to further master the subject on my own.

I learnt a lot from this course and now I think I am much more familiar with this algorithm.

extremely informative and really help me understand the basic math in Machine learning

Course was challenging, so does the math. It was a very excellent learning experience!

This course is also so helpful, and the lecturer is so predominant on what he taught.

Truly hardcore course if your are a noob in reduced order modelling. Very challenging

Algebra, Calculus and PCA

These are all excellent, if you have mathematics knowledge

Excellent course and extremely difficult one to grasp at one go. Regards Arijit Bose

Very hard to follow, but you need to do it to understand machine learning very well.

I have thoroughly enjoyed every course of this specialization. Thank you very much.

Lectures and programming assignments were selected nicely to teach the math of PCA

Excellent program, helped get to understand features of Python programming fast

This was really difficoult, but I'm so proud for the completion of the course.

It was an intense Math Class with a piece of new knowledge about PCA...Thanks

the course was very much intuitive and helpful to grasp the knowledge of PCA

I think there must be correction for the pca lab, the testing code is error

The highly mathematical perspective of PCA with greater conceptualization.

We need more elaborate explanation at few tricky places during the course.