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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
12,504 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

HE

Aug 8, 2021

the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering

CS

Mar 31, 2018

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

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601 - Mathematics for Machine Learning: Linear Algebra 的 625 个评论(共 2,468 个)

创建者 Dharti P S

May 30, 2023

The instructors are great at explaining some very difficult material! I love the length of the videos and the ability to practice while learning.

创建者 Mario M

May 31, 2022

Challenging and intuitive approaches to the subject. The course was incredibly easy to follow and simple to understand some of the hard concepts.

创建者 Andrew

May 12, 2020

Combined with 3Blue1Brown this course is gorgeous. It would be nice, though, to have more details covered, explanations and non-trivial examples.

创建者 Vikas S

Jun 16, 2024

I liked the rigour of the course and the well designed/conveyed contents. I wish the pace of videos was a bit slower and longer, rest was great!

创建者 Nguyen D A T

Dec 26, 2020

I thinks course its very helpful for machine learning but Its so hard to present code in the quiz

Student might be bored about that . Thanks you

创建者 Rodrigo H d F

Jun 11, 2020

Love this course! Quite didatic, illustrates how Linear Algebra and Machine Learning are connected. Teachers explain brilliantly. Fantastic one!

创建者 Julian A M M

Jun 4, 2020

The teachers are quite good and the subjects of the course very interesting, I learned many new things and I feel that it is very useful for me.

创建者 Donna D C

Apr 16, 2020

Excellent course for developing intuition for linear algebra, transformation matrices, basis changes, and eigenvalue and eigenvector operations.

创建者 Deleted A

Apr 12, 2020

The instructors explained everything really well. I took Linear Algebra in university and could not understand things as well as in this course!

创建者 yifei l

Dec 21, 2019

Great linear algebra part, compare to regular linear algebra class. This class focues more on intuitive and practice. I really enjoy this class.

创建者 ChaoLin

Oct 25, 2018

only the homework is not so friendly to the people who do not use python often, and the other is so good, especially about the teachers, thanks!

创建者 Nigel H

Apr 18, 2018

Very high production standards, well presented by enthusiastic staff and very manageable as the material is taught so well. Highly recommended.

创建者 AVICHAL S

Mar 26, 2020

This course teaches complex theories of Linear Algebra in a simple way. Coding Practice problems were very useful in implementing the learning.

创建者 Brandi R

Jun 20, 2019

Wow, this course was hard. But very good, I learned so much about transforming vectors and matrices as well as some interesting Python coding.

创建者 Abitha R

Dec 18, 2020

The course was challenging and at the same time, it gave me an idea on preparing myself for the job role I am planning to get into. Thank you.

创建者 Amarnath D

Dec 11, 2020

Just Brilliant!!! Very well structured with very clear assignments. Doing the assignments is a must if you want to get clarity on the subject.

创建者 Raghavendra R K

Sep 15, 2020

When I started this course, I have no experience in Mathematics, but after this course, I got confidence in Better understanding of algorithms

创建者 HARSHAVARDHAN K

May 19, 2020

It was a nice course. The way they explain the concept is really appreciable. This course focused more on intuition rather than rote learning.

创建者 Oj S

Dec 13, 2019

A very useful course for Machine learning, you will never feel aloof if you are not with a Mathematics background while learning ML afterward.

创建者 Asrorbek O

Jun 21, 2019

The course is very great. I have thoroughly enjoyed taking it. However, 5th module should be improved by teaching diagonalization more deeply.

创建者 Robert P C J

Jun 30, 2018

This course was a really excellent refresher in linear algebra! Everything was presented clearly, and the lectures and homework were engaging.

创建者 aurelio m

Jan 25, 2021

It's an excellent matrix course. The teachers teach very well.

As it is a specialized program course, previous knowledge in Python is required

创建者 Nilkumar P

Jul 9, 2020

It was very useful course for me as i`m not good at school math so it helped me understand concepts and not focusing on traditional methods.

创建者 Brian W

Dec 12, 2019

Very informative, even as I start my postgraduate studies, I have picked up on a few notions and perspectives I have never considered before.

创建者 Nano D N

May 14, 2019

I'm only at the beginning of the course but the material is really worth it.

Great instructor. He makes himself very clear and easy to follow.