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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

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12,465 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

EC

Sep 9, 2019

Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

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.

筛选依据：

2176 - Mathematics for Machine Learning: Linear Algebra 的 2200 个评论（共 2,462 个）

创建者 Alagu P P G

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Jun 17, 2020

good start up for algebra enthusiasist.

a strong foundation

创建者 Deleted A

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Apr 23, 2020

I felt that lectures aren't enough to solve the exercises.

创建者 celwang

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Mar 23, 2020

good course ! but some of the formula should be more clear

创建者 谢迟

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Jun 24, 2018

The core idea of eigenvalue and eigenvector is very good.

创建者 Andini A M

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Mar 12, 2021

I thought it was lacking in practice before the LAB test

创建者 Pakpoom S

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Aug 6, 2021

Good course but should dig more deeper in math concepts

创建者 张力

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Feb 6, 2021

Inspired me how to look at matrix, but not deep enough

创建者 Kirill P

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Dec 19, 2023

Good for people who know the basics of linear algebra

创建者 Alisa G

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Apr 25, 2020

great teachers, very practical quizzes and examples!

创建者 Monhanmod K

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Oct 10, 2018

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

创建者 Rahul S

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Jun 21, 2020

like a building blocks for one step forward into AI

创建者 Aniruddhan P N

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May 28, 2020

Excellent Introduction to the concepts, Thank you!

创建者 adam m

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Feb 12, 2019

reasonably well constructed and presented material

创建者 Amr M

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May 30, 2024

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

创建者 Abhishek J

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Apr 18, 2020

Good Course, Best Videos, Excellent Understanding

创建者 manish c

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Apr 15, 2020

well made course for machine learning foundation

创建者 Tasfiq R

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Jun 29, 2020

Great course.Animation can be addes for pagerank

创建者 Kasidit ( R

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Mar 21, 2019

Great way to build foundation in Linear Algebra

创建者 Jay S

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Jul 27, 2020

Fast paced interesting course. Lots to learn!

创建者 Uri M

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Sep 29, 2020

Pretty nice hands on linear algebra course

创建者 何霄

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Feb 23, 2020

clearly explain all the key concepts in la

创建者 Ratnakar M

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May 31, 2018

Very engaging course and right on spot!!!

创建者 Andres O

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May 25, 2018

Very good linear algebra intro/refresher

创建者 Paul M D C B

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Nov 1, 2020

Too technical but relevant nonetheless

创建者 Manikanta G

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Aug 22, 2020

it's worth taking to revise the topics