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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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12,510 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

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：

1326 - Mathematics for Machine Learning: Linear Algebra 的 1350 个评论（共 2,470 个）

创建者 Andrii S

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Oct 1, 2018

Good course to start learning math for ML.

创建者 Quentin P

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Apr 23, 2018

Really nice introduction. Highly recommend

创建者 Song Y

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Jun 28, 2023

A quick but nice review of linear algebra

创建者 Kisara K

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Nov 20, 2022

Loved the hands-on python lab assignments

创建者 Alain A

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Apr 30, 2022

Explanations on the videos are excellent.

创建者 Biruk M

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Mar 16, 2022

it was amazing thanks for bright lecture

创建者 JOANNE F

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Jan 24, 2022

This course was well designed and taught.

创建者 Artur M

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Jul 20, 2020

Nice introduction course! Worth doing it.

创建者 Megha S

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Jun 4, 2020

useful lectures for growing our knowledge

创建者 Anand W

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May 11, 2020

one of the most amazing must have courses

创建者 kota y s r

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Apr 23, 2020

thanks for explaing the things very clear

创建者 S. C

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Feb 14, 2020

Excellent introduction to linear algebra!

创建者 Шмаков А А

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Aug 17, 2019

Хороший курс, проходится на одном дыхании

创建者 ASHISH S

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Apr 27, 2019

Excellent course ,i had been enjoy lots.

创建者 A J

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Jul 2, 2018

Simply excellent and highly recommended !

创建者 Wang Z

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Jun 30, 2018

Very challenging yet extremely beneficial

创建者 Gerard C

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Dec 5, 2024

AMAZING FOR AN INTRO TO MACHINE LEARNING

创建者 ­이상윤

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Feb 18, 2022

It was good for basics of linear algebra

创建者 Arjun V

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Jul 21, 2020

Builds intuition. Prof. David Dye rocks.

创建者 Dr G K

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Jun 7, 2020

Excellent course for budding researchers

创建者 Aditya M

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May 4, 2020

Thanks to Prof. David Dye and Prof. Sam.

创建者 Benjamin C

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Jan 14, 2020

Very good course, pedagogy is brilliant.

创建者 Vaibhav A

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Aug 30, 2019

David Dye is awesome! A very good course

创建者 Musharraf H

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Dec 22, 2023

much more informative with advancement.

创建者 Phonphrm T

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Jul 7, 2021

This is really good course :D love it!