Chevron Left
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
星
12,556 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

NS

Dec 22, 2018

Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.

GB

Aug 16, 2020

The instruction was good throughout, but I would urge fellow students to take the time to work through the problems as suggested. Also, the eigen- stuff is quite tricky and can fool you. Be careful.

筛选依据：

2201 - Mathematics for Machine Learning: Linear Algebra 的 2225 个评论（共 2,482 个）

创建者 Monhanmod K

•

Oct 10, 2018

not bad, I feel the information is not enough for ML

创建者 Rahul S

•

Jun 21, 2020

like a building blocks for one step forward into AI

创建者 Aniruddhan P N

•

May 28, 2020

Excellent Introduction to the concepts, Thank you!

创建者 adam m

•

Feb 12, 2019

reasonably well constructed and presented material

创建者 Amr M

•

May 30, 2024

it's really great, but it's a bit hard to follow.

创建者 Abhishek J

•

Apr 18, 2020

Good Course, Best Videos, Excellent Understanding

创建者 manish c

•

Apr 15, 2020

well made course for machine learning foundation

创建者 Tasfiq R

•

Jun 29, 2020

Great course.Animation can be addes for pagerank

创建者 Kasidit ( R

•

Mar 21, 2019

Great way to build foundation in Linear Algebra

创建者 Jay S

•

Jul 27, 2020

Fast paced interesting course. Lots to learn!

创建者 Uri M

•

Sep 29, 2020

Pretty nice hands on linear algebra course

创建者 何霄

•

Feb 23, 2020

clearly explain all the key concepts in la

创建者 Ratnakar M

•

May 31, 2018

Very engaging course and right on spot!!!

创建者 Andres O

•

May 25, 2018

Very good linear algebra intro/refresher

创建者 Paul M D C B

•

Nov 1, 2020

Too technical but relevant nonetheless

创建者 Manikanta G

•

Aug 22, 2020

it's worth taking to revise the topics

创建者 Richard P

•

Jul 15, 2020

Great knowledge at an affordable price

创建者 Salah E

•

Jun 30, 2020

it is very hard course yet very useful

创建者 Nirmala R

•

Jun 3, 2020

Week 5 was bit difficult to comprehend

创建者 Ritwik M

•

May 17, 2020

Prof. Sam is a bit hard to understand.

创建者 danthedoubleD

•

Feb 22, 2019

good stuff hopefully, i will be useful

创建者 Annamma A

•

Nov 29, 2020

Help with programming should be given

创建者 龚华君

•

Jul 8, 2019

i don't know , just finish it so soon

创建者 e u

•

Aug 9, 2020

a little bit hard for a beginner lol

创建者 Kareem B

•

May 17, 2020

Veru useful Course in Linear Algebra