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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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12,558 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

KK

Apr 4, 2020

really good. i would have been fine with a slightly longer course that worked through more examples and alternative explanations in order to ensure more solid understanding of complex concepts.

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：

1126 - Mathematics for Machine Learning: Linear Algebra 的 1150 个评论（共 2,482 个）

创建者 Avi M

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Aug 14, 2019

Good for developing linear algebra intuition and helps visualize

创建者 Xiaofei Q

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Sep 9, 2024

Very helpful for improving my understanding of machine learning

创建者 Eduardo Z R

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Jan 29, 2022

Nice and complete course with the essential knowledge to apply.

创建者 Alexandre G

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Jun 3, 2021

A clear and informative course that re-cindle my love for maths

创建者 premjeet p

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Aug 10, 2020

Excellent amount of knowledge presented in a simpler visual way

创建者 李赞

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Apr 3, 2020

it's quiet short but contains most of the important imformation

创建者 Wenwen L

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Aug 20, 2019

Hope this module can covers more about dimension reduction etc.

创建者 Hao G

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Jan 27, 2021

Very good course materials, but the marking system is annoying

创建者 Ashok M

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Aug 12, 2020

Must watched Course for Machine learning and all Mathematician

创建者 Vikas K P

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Jun 29, 2020

good course to understand the mathematics for machine learning

创建者 Danielius K

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May 23, 2018

An amazing introduction to a crucial part of machine learning!

创建者 AP P

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Jul 24, 2023

Very good for beginners interested in artificial intelligence

创建者 Bob K

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May 17, 2021

Provides excellent intuitions + how to compute. Recommended!

创建者 Ezequiel P

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Sep 19, 2020

Great course for understanding the algebraic way of thinking.

创建者 Muthamizh S N

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Jul 12, 2020

This course helped me to understand the concepts intuitively.

创建者 John K B

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Jun 27, 2020

I had fun learning basis, change of basis and transformation.

创建者 Ankit M

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Jun 13, 2020

Excellent modules to revise concepts and practice application

创建者 許柚甄

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Apr 11, 2020

good course to understand the fundamentals of linear algebra.

创建者 vipin t

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Sep 9, 2019

Great course for beginners who want to learn machine learning

创建者 Akash G

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Mar 19, 2019

Mathematics for Machine Learning: Linear Algebra ... REVISED

创建者 Badie T

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Jul 31, 2022

Very interesting personalities. Very funny team. Thank you:D

创建者 Jose G G M

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Feb 16, 2021

Very good introduction about matrix applied to data analysis

创建者 Haoyan L

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Dec 25, 2020

Helpful. It is very useful and suitable for the new learner!

创建者 Sanjana T

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Dec 12, 2019

Must course to understand the maths behind machine learning.

创建者 Joshua Z

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Jan 28, 2024

Learned more conceptually than a semester of Linear Algebra