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

4.7
12,504 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

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.

DV

Jun 24, 2019

This was a terrific course; the instructors' are passionate and knowledgeable about the course material, the assignments are engaging and relevant, and the length of the videos feels "just right".

筛选依据:

2176 - Mathematics for Machine Learning: Linear Algebra 的 2200 个评论(共 2,468 个)

创建者 Mohammed K A

Feb 12, 2022

need some use of visualisation in some topic like change basis

创建者 fatima s

Jun 18, 2020

Wish it was a bit more spontaneous but overall great content!!

创建者 Vincent C

Apr 18, 2024

Explanation is good, but there are mistakes in the lectures.

创建者 Gautam K

Mar 7, 2019

Highly recommended course for beginners in Machine Learning.

创建者 Deleted A

Jan 3, 2019

Good grounding in the fundamental mathematics needed for ML

创建者 Alagu P P G

Jun 17, 2020

good start up for algebra enthusiasist.

a strong foundation

创建者 Deleted A

Apr 23, 2020

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

创建者 celwang

Mar 23, 2020

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

创建者 谢迟

Jun 24, 2018

The core idea of eigenvalue and eigenvector is very good.

创建者 Andini A M

Mar 12, 2021

I thought it was lacking in practice before the LAB test

创建者 Pakpoom S

Aug 6, 2021

Good course but should dig more deeper in math concepts

创建者 张力

Feb 6, 2021

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

创建者 Kirill P

Dec 19, 2023

Good for people who know the basics of linear algebra

创建者 Alisa G

Apr 25, 2020

great teachers, very practical quizzes and examples!

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