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

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3,158 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

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.

LI

Jun 27, 2020

Very challenging at times, but very good course none the less. Would recommend to any one who has a solid foundation of Linear Algebra (Course 1) and Multivariate Calculus (Course 2).

筛选依据：

251 - Mathematics for Machine Learning: PCA 的 275 个评论（共 790 个）

创建者 Наталья Т

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Feb 25, 2019

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

创建者 Aishik R

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Jan 18, 2020

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

创建者 Haoquan F

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Feb 13, 2022

It's overall wonderful but the week 4's programming assignment really struggled and confused me.

创建者 KAMASANI V R

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Jun 20, 2020

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

创建者 Wei X

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Oct 16, 2018

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

创建者 Fab V

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Jul 31, 2022

A fascinating course letting people explore the beauties of Mathematics and Machine Learning

创建者 Leonardo H T S

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May 2, 2021

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

Thank you so much, greetings

创建者 Wahyu N A

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Mar 27, 2021

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

创建者 Mayank

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Dec 3, 2020

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

创建者 Ripple S

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Mar 17, 2020

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

创建者 Farhan F

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Mar 26, 2022

This is very very very very very challengging, but i can do it because i try try and try

创建者 Harvey M

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Apr 22, 2020

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

创建者 deepak t

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Apr 17, 2020

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

创建者 Mohammad A M

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Nov 14, 2019

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

创建者 Alfonso J

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Oct 20, 2019

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

创建者 MD K A

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Aug 8, 2020

Algebra, Calculus and PCA

These are all excellent, if you have mathematics knowledge

创建者 Arijit B

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Nov 5, 2019

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

创建者 Pascal U E

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May 25, 2018

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

创建者 Greg E

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Jul 27, 2019

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

创建者 Faruk Y

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Sep 22, 2019

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

创建者 Rodrigo S

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Feb 22, 2022

Amazing course, really challenging tho, however, material lerned is very useful.

创建者 Sanjay B

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Dec 30, 2020

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

创建者 Lia L

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May 22, 2019

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

创建者 Pritam C

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Sep 22, 2020

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

创建者 Nero

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Aug 4, 2022

The instructor is doing a great job in explaining the mathematics behind PCA