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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
12,506 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

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!)

PL

Aug 25, 2018

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

筛选依据:

1076 - Mathematics for Machine Learning: Linear Algebra 的 1100 个评论(共 2,470 个)

创建者 Alireza A

Aug 13, 2020

it was really good and helpful. bright lecturers and amazing contents

创建者 Gustavo S S

Aug 5, 2020

Excelente curso! Se aprenden cuestiones de mucho interés y relevancia

创建者 Divesh K

Nov 9, 2019

Outstanding course, great teachers and beautiful visualisation tools.

创建者 Zecheng W

Sep 14, 2019

Awesome course. Could be improved by having more guidance on homework

创建者 Anthony S

Sep 14, 2019

Great course and taught me insight into why linear algebra is useful!

创建者 Cristiana G G

Jul 14, 2019

Great course, with amazing intuitions and nice programming exercises.

创建者 Chokdee S

Jul 14, 2019

It's a great course for studying Algebra especially vector and metric

创建者 RAVITEJA A

Aug 30, 2018

The intuitive way of teaching the subject is simply awesome.Good job.

创建者 VAIDYANATH H

Aug 12, 2018

The course was very well taught and went on smoothly with no pressure

创建者 chmanish

Sep 3, 2025

very very good course for learning ML from core maths prospective !

创建者 Edwin G M

May 2, 2025

Really good course to learn Linear Algebra. I really recommended it!

创建者 Dominik

May 3, 2022

Really great course, one of most engaging courses I've seen online!

创建者 Thomas G

Mar 15, 2022

Good introduction into applied Linear Algebra for machine learning.

创建者 Ferdinand W

Feb 27, 2021

A bit hard, maybe you all can use more simple explanation.

Thank you

创建者 Enrique F

Jan 2, 2021

The best mathematics course for machine learning. Super recommended.

创建者 Jayanth M

Dec 2, 2020

very good startup for learning machine learning . A must have course

创建者 Osama K

Oct 17, 2020

Very nice, important and enjoyable course.

You will never feel bored.

创建者 Tiago V

Jun 26, 2020

Great course to see the applications of linear algebra in real-life.

创建者 Osama K

Jun 5, 2020

Great value and quiet enough as linear algebra basic material for ML

创建者 Shobhit S

May 5, 2020

Very well explanation by experienced teachers. Enjoyed whole course.

创建者 Keith B E

Mar 21, 2020

This course was a lot more useful than the course I got in college.

创建者 Jacint J

Feb 12, 2020

Excellent introduction to mathematical basics for Machine Learning.

创建者 GAUTAM V

Oct 15, 2019

The course materials are communicated very efficiently and clearly.

创建者 Narayan B

Jun 21, 2019

Very good and useful course, worth spending money and valuable time