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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
12,465 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

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.

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.

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2076 - Mathematics for Machine Learning: Linear Algebra 的 2100 个评论(共 2,462 个)

创建者 Saurabh G

Nov 6, 2019

This is one of the most important courses for someone who wants to build career in the machine learning field.

创建者 Shriniwas S U

May 10, 2020

Good course but Instructor should provide some lectures on python programing which is related to assignments.

创建者 Rodney N d S

Aug 31, 2018

This course is short, you can conclude it in a month, but you will learn a lot with the assignments in Python

创建者 tao t

Mar 23, 2022

love it. However, it went a bit fast and I wish the parts of eigen stuffs had been slower and more detailed.

创建者 Chakola P J

Aug 23, 2020

The course provided a good insight into some of the essential concepts with respect to vectors and matrices!

创建者 Ronast S

Jan 18, 2020

This course provides basic insights about vectors and matrices and their analysis in multidimensional space.

创建者 FIGL

Jun 4, 2022

Mostly interesting although teacher tend to contradict himself or skip important partts of the explanation.

创建者 Helena R

Feb 15, 2022

Course re-engineered my Lin Algebra skills. Rather challenging portions at times, But I learned patience.

创建者 Patricio A R

Aug 3, 2020

Permite ver claramente lo que potencialmente se puede lograr con la aplicación de los conceptos aprendidos.

创建者 Diego C

Jul 4, 2020

This course is a very good opportunity to introduce to the main concepts of linear algebra for data science

创建者 Jorge L C T

Aug 21, 2021

I recommend it for whom to are beginners, nice course to start programming in python using numpy library

创建者 Meixin Z

Dec 10, 2018

the content of this course is really clear, but the assignment system about program needs to be improved.

创建者 Shubham K

Aug 31, 2019

The course is great with really good teaching community , as a beginner it was a really good experience.

创建者 Akwila F

Sep 9, 2020

Perfect for anyone who wants to take specialization but not recommended for beginners in linear algebra

创建者 José D

Sep 15, 2018

Good video & subtitles for non-english speaker, practical examples, good introduction to linear algebra

创建者 Mario H

Mar 19, 2022

the clarity in eigen section is not really good IMO, but overall the course is good and understandable

创建者 Stylianos V

Jul 26, 2020

Very good course for an introduction in linear algebra with many useful concepts for machine learning

创建者 Harry L

Apr 8, 2020

Excellent syllabus and lectures. However, a detail explanation of each practice quiz should be given.

创建者 Prashant D

Feb 16, 2019

Good explanation. Some of the exercises and quizzes need a deeper understanding of the course content

创建者 Alvaro S

May 22, 2018

Great course! I have learned about linear algebra, some geometry, and a bit of programming in Python.

创建者 Grant W

Jan 4, 2022

It was a good course for reviewing the topic. It's probably not great for people new to the subject.

创建者 Eduardo V O

Aug 19, 2020

Course is great. It can improve showing some more complex examples, similar to the ones in the tests

创建者 李振宇

Jan 20, 2020

Good experience for a beginner like me, and I am looking forward to completing the rest two courses!

创建者 sai s

Mar 17, 2019

A very basic introduction to the math that you will find in Machine Learning. Beginner level Course

创建者 Jefo H G

Nov 16, 2021

It would be better if more detailed explanations are given to complex problems from week 3 onward.