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返回到 Mathematics for Machine Learning: Linear Algebra

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

4.7
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12,489 个评分

课程概述

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before. At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning....

热门审阅

HE

Aug 8, 2021

the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering

MG

May 30, 2020

A great course covering key aspects of Linear Algebra with the lecturers giving a good intuition about what's going on with the subjects.(PS. I loved the sense of humor of Prof.Dye it was really fun!)

筛选依据：

2451 - Mathematics for Machine Learning: Linear Algebra 的 2468 个评论（共 2,468 个）

创建者 Priyabrota S

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Jun 7, 2020

No practical example. Like University hard mathematics lecture. This course content does not relate to the course title.

创建者 ed r

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Mar 15, 2025

there is a error in grading Programming Assignment: Page Rank, and I can not finish the module because of that

创建者 Christodoulos M

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May 31, 2025

I CAN NOT COMPLETE THE COURSE BECAUSE IN CAN NOT LOCATE THE "NOTEBOOK" on the assignments on week 4 & 5

创建者 Zicheng L

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Jul 13, 2021

That course content are not descriptive enough. Also, there are no slides.

创建者 Rohan D

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Jan 2, 2025

The details of how things are derived are not particularly clear.

创建者 Jesse L

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Apr 22, 2024

Zero stars. Cannot understand the speaker's heavy accent!

创建者 ankit p

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Aug 24, 2020

Not for someone with less knowledge about terminologies.

创建者 Jules A d C

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May 6, 2020

Doesn't explain how it is related to Machine Learning.

创建者 Karthikeyan R

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Jan 12, 2025

Not clear on the concept, too many gaps to understand

创建者 Ephraim K N

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Oct 5, 2020

Please I am not interested in taking the course again

创建者 Himanish C

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May 4, 2021

Terrible course, skips through a lot of concepts

创建者 Deleted A

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May 29, 2020

Don’t waste your money with Coursera it’s a con.

创建者 Andrew E

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Jun 16, 2019

First quiz doesn’t work properly. Can’t submit.

创建者 cyara g

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Mar 20, 2025

i need my lab reset, and no one is helping me.

创建者 Chris Y

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Aug 30, 2019

very bad, everything is not clear

创建者 Inderjot S

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Oct 26, 2025

waste of time and resources

创建者 Enyang W

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Aug 23, 2019

worst course ever

创建者 Vaibhav J

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Aug 9, 2020

Bad