Learner Reviews & Feedback for Mathematics for Machine Learning: PCA by Imperial College London
About the Course
dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances
and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces. Using all these
tools, we'll then derive PCA as a method that minimizes the average squared reconstruction error between data points and their
reconstruction. At the end of this course, you'll be familiar with important mathematical concepts and you can implement PC...
Top reviews
JS
Jul 17, 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.
WS
Jul 7, 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.
776 - 787 of 787 Reviews for Mathematics for Machine Learning: PCA
By Aurel N
•Jul 5, 2020
k-NN assignment is full of errors and no proper explanations.
By Wensheng Z
•Nov 24, 2019
Jumpy instruction with little illustrations
By Adam C
•Oct 31, 2019
Worst course I've ever taken, online or IRL
By Zecheng W
•Oct 20, 2019
Poorly organized and extremely confusing
By Mingzhe D
•Dec 11, 2019
Assignment 1 cannot be passed!
By Cintya k
•Mar 3, 2021
confuse , difficuld and weird
By 朱嘉懿
•Jun 25, 2020
The assignment worked badly.
By Syed s A
•Jul 23, 2020
Assignment is not proper
By Анофриев А
•Oct 1, 2019
The worst course ever
By Bohdan S
•Feb 17, 2020
Worst course ever
By Ankit M
•Jul 12, 2020
POOR VERY POOR
By Arjunsiva S
•Oct 4, 2020
meh!