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学生对 伦敦帝国学院 提供的 Mathematics for Machine Learning: PCA 的评价和反馈

4.0
1,942 个评分
469 条评论

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 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.

NS

Jun 19, 2020

Relatively tougher than previous two courses in the specialization. I'd suggest giving more time and being patient in pursuit of completing this course and understanding the concepts involved.

筛选依据:

151 - Mathematics for Machine Learning: PCA 的 175 个评论(共 469 个)

创建者 Lia L

May 22, 2019

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

创建者 Roshan C

Nov 23, 2019

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

创建者 Pramod H K

Aug 07, 2020

The highly mathematical perspective of PCA with greater conceptualization.

创建者 Rishabh A

Jun 17, 2019

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

创建者 Aman M

Jul 01, 2020

good content but assignment quality and maintenance should be rechecked

创建者 Seelam S

Jul 25, 2020

Good Course to get knowledge of Maths required for Machine Learning! ☺

创建者 Sanchayan D

Jun 07, 2020

Good Introduction to understanding the principal component analysis

创建者 Benjamin C

Jan 28, 2020

Excellent course regarding both theoritical and practical sides.

创建者 Shahriyar R

Sep 14, 2019

The hardest one but still useful, very informative neat concepts

创建者 J G

May 12, 2018

This is a good course, you learn about the foundations of PCA.

创建者 Opas S

Jul 16, 2020

Great course for improve math skilled and improve basic to ML

创建者 Isaac M M

Aug 09, 2020

A bit more difficult than previous ones but it is worth it

创建者 Phani B R P

Jun 01, 2020

Very good course and extremely challenging, especially PCA

创建者 Harish S

Nov 24, 2019

This was a difficult course but still very informative.

创建者 Oleg B

Jan 06, 2019

Excellent focus on important topics that lead up to PCA

创建者 Prateek S

Jul 14, 2020

best course and important to study with concentration

创建者 Lahiru D

Sep 16, 2019

Great course. Assignments are tough and challenging.

创建者 Archana D

Mar 06, 2020

Brilliant work, references and formulas aided a lot

创建者 Tichakunda

Jan 18, 2019

good course, rigorous proof and practical exercises

创建者 Diego S

May 02, 2018

Difficult! But I did it :D And I learnt a lot...

创建者 CHIOU Y C

Feb 03, 2020

A good representation after preceding courses.

创建者 Wang S

Oct 21, 2019

A little bit difficult but helpful, thank you!

创建者 eder p g

Aug 09, 2020

excellent!!!! it's very useful and practical.

创建者 Murugesan M

Jan 15, 2020

Excellent! very intuitive learning approach!!

创建者 Hritik K S

Jun 20, 2019

Maths is just like knowing myself very well!