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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
12,556 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:

2176 - Mathematics for Machine Learning: Linear Algebra 的 2200 个评论(共 2,482 个)

创建者 Nugy

Feb 24, 2021

The eigen value and eigen vector courses are a bit hard to understand

创建者 Kevin O

Feb 25, 2021

A good refresher with some really useful insights about eigenthings.

创建者 Kiran

Jul 21, 2020

Its is the best course to know about matrices and their applications

创建者 KURRA S S 2

Dec 26, 2022

It is so useful to me for getting the knowledge in machine learning

创建者 Sharad K L

Mar 8, 2020

Exams were hard and most of the exams were source of the knowledge.

创建者 JOSÉ M B D

Jan 24, 2020

excelente curso, me gustaría que se complementara con programación.

创建者 Karan P

Apr 25, 2025

Eigen values and vectors portion was taught really really well.!

创建者 Eduardo G R G

Feb 4, 2024

i would prefer less explanation on the methods and more examples

创建者 Jihun Y

Jan 3, 2022

teaching essential, doesn't cover many topics, but well curated!

创建者 Sai V P

Aug 14, 2020

Decent course. Wish things were explained in a more detailed way

创建者 Ng Y Y

Jun 21, 2019

Good overview and introduction to key concepts of linear algebra

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!