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学生对 Imperial College London 提供的 Mathematics for Machine Learning: PCA 的评价和反馈

4.0
3,167 个评分

课程概述

This intermediate-level course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental 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 PCA all by yourself. If you’re struggling, you'll find a set of jupyter notebooks that will allow you to explore properties of the techniques and walk you through what you need to do to get on track. If you are already an expert, this course may refresh some of your knowledge. The lectures, examples and exercises require: 1. Some ability of abstract thinking 2. Good background in linear algebra (e.g., matrix and vector algebra, linear independence, basis) 3. Basic background in multivariate calculus (e.g., partial derivatives, basic optimization) 4. Basic knowledge in python programming and numpy Disclaimer: This course is substantially more abstract and requires more programming than the other two courses of the specialization. However, this type of abstract thinking, algebraic manipulation and programming is necessary if you want to understand and develop machine learning algorithms....

热门审阅

JS

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.

CF

Jul 19, 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.

筛选依据:

501 - Mathematics for Machine Learning: PCA 的 525 个评论(共 791 个)

创建者 Manuel I

Jul 7, 2018

Overall the hardest of the specialization, a though one but great to make sense of all the maths learned so far.

创建者 Shraavan S

Mar 4, 2019

Programming assignments are a little difficult. Background knowledge of Python is recommended for this course.

创建者 Andrew D

Jun 2, 2019

Very difficult course, make sure to do the prereq courses first and understand everything from those courses.

创建者 Neelam U

Sep 23, 2020

The programming assignments were quite challenging. Some part of the course can discuss this aspect as well.

创建者 James M S

Jun 10, 2023

some topic details were just put into readings instead of videos which made it harder than the previous 2

创建者 Caroline H

Aug 2, 2025

In the PCA module we were asked to code algorithms that were not at all discussed (like KNN). Not cool!

创建者 Paulo N A J

Aug 18, 2020

It is a good course with hard programming, but the assignments could be improved. The forum helps a lot.

创建者 Ibon U E

Jan 7, 2020

The derivations of some concepts have been more vague compared to other courses in this specialization.

创建者 Max W

Apr 19, 2020

Very challenging, could have used a few more videos to really explain or give a few more examples

创建者 Abhishek T

Apr 12, 2020

The structure could have been better. Some of the weeks were too crowded as compared to others

创建者 Manon L

Apr 24, 2025

There are issues with the submission of the LAB assignment. Otherwise, the course was great

创建者 kerryliu

Jul 30, 2018

still have room for improvement since lots of stuffs can be discussed more in detail.

创建者 Ruan V S

Oct 13, 2019

Harder than expected, the content is good and is well worth the struggle!

创建者 Xin W

Sep 6, 2019

This course is full of mathematical derivation, so it is kind of boring.

创建者 Bintang K P P

Mar 26, 2021

We need more basic example and exercise before taking graded assignment

创建者 Felipe T B

Aug 10, 2020

Computational exercises could have more support from the professors.

创建者 Jiaxuan L

Jul 15, 2019

Overall a good course. Very limited introduction to Python though.

创建者 Chow K M

Jul 28, 2020

Quite challenging. Need to keep notes for programming assignment.

创建者 Lafite

Feb 4, 2019

编程练习的质量不够高,不管是编程练习本身的代码逻辑、注释、练习的质量还是在答疑区课程组的答疑都不能尽如人意,对于编程练习并不很满意

创建者 Attili S

Aug 19, 2020

Great course! It could have elaborated more in the week 4 PCA

创建者 Chenyu W

Jul 24, 2021

feels like it progresses too fast. otherwise great content

创建者 Ashok B B

Feb 6, 2020

Course was challenging , but learned the maths behind PCA,

创建者 Paul C

Dec 23, 2018

Good content, just need to fix the assignments' platform.

创建者 Rohit R

Nov 12, 2024

It was a good experience learning this course. Thank you