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
12,510 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.

LK

Oct 26, 2023

Very good course. I liked very much the way the topics were presented and explained. I especially appreciate David Dye's clarity of explanations, enthusiasm, passion, and joyful attitude. Thank you.

筛选依据：

1226 - Mathematics for Machine Learning: Linear Algebra 的 1250 个评论（共 2,470 个）

创建者 Yunkai C

•

Sep 27, 2019

very nice course, highly useful for my future study!

创建者 Vikas C

•

May 12, 2019

Good for basic understanding, Assignments are fine.

创建者 Prasanna K

•

Mar 31, 2018

very intuitive, must have of clear description of LA

创建者 Ed P

•

Jul 22, 2024

I began with zero linear algebra and learned a ton.

创建者 Darshan B

•

Jun 6, 2023

Got a clear idea and a base of the machine learning

创建者 Shreyas G

•

Sep 4, 2021

One of the best math courses that I’ve done so far.

创建者 Sanka M

•

Sep 3, 2020

I recommend this to anyone who is interested in LA.

创建者 Habibur R

•

Jul 17, 2020

best course of linear algebra. just love the course

创建者 Chirag R

•

Jun 25, 2020

The faculty has explained the concepts very nicely.

创建者 kable

•

Jun 18, 2019

Wonderful course design! Helps me a lot. Thank you!

创建者 shariq

•

Sep 26, 2018

Its good course for anyone who has to build basics.

创建者 Yevhen D

•

Sep 9, 2018

Nice course. Good examples, programming assigments!

创建者 Nawanjana H M

•

Jan 27, 2021

good course unit for undergraduates of mathematics

创建者 Samuel O

•

Sep 14, 2020

This was just amazing. Thank you for all the work.

创建者 Faustine d

•

May 12, 2020

Interesting, and crisp course. Really enjoyed it !

创建者 任杰文

•

Jan 8, 2019

It's clear and intuitive, especially the examples.

创建者 Jonathas

•

Dec 30, 2018

Nice mix of video lectures and practice exercises.

创建者 Rajib M

•

Jun 14, 2023

I've never enjoyed any math course like this one.

创建者 Wien N D M

•

Mar 8, 2021

this best course mathematics for machine learning

创建者 J C

•

Oct 11, 2020

Highly recommend if you memorized linear algebra.

创建者 J N B P

•

Aug 11, 2020

A good course for intermediates in Linear Algebra

创建者 John R

•

Aug 4, 2020

Excelent quality of videos and good explanations.

创建者 Moises G

•

Jul 13, 2019

Excelent, I reinforced what I previously learned.

创建者 Maciej K

•

May 15, 2018

great course, gives clear info on linear algebra.

创建者 arnaud j

•

May 12, 2018

Nice introduction or freshener on linear algebra.