学生对 Imperial College London 提供的 Mathematics for Machine Learning: Linear Algebra 的评价和反馈
课程概述
热门审阅
PS
May 8, 2018
Excellent course on the relevant parts of linear algebra for CS. Both instructors are great fun to watch and the assignments use up-to-date Python programming and Jupyter notebooks. Well done !!!
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.
726 - Mathematics for Machine Learning: Linear Algebra 的 750 个评论(共 2,482 个)
创建者 Hause L
•Aug 31, 2019
Excellent course that provides mathematical and geometric intuition behind the linear algebra used in machine learning!
创建者 Mengchan G
•Apr 27, 2019
I like the accent of the professor! The context of the lesson is develop gradually which aids my understanding of math.
创建者 Tirthankar B
•Apr 19, 2019
Excellent intro to Linear Algebra with clarity on concepts such as application of Gram Schmidt method and Eigenvectors.
创建者 Кузьмин К Ю
•Aug 30, 2018
During this course i finally got intuition for many things in Linear Algebra that seemed to me too complicated before.
创建者 jay c
•Dec 29, 2022
Great course for those who have not come across linear algebra before , helped me understand LA from a new prespective
创建者 Florian C
•Oct 31, 2020
This course is really great in conveying the intuition behind the mathematical concepts underpinning machine learning!
创建者 aftab a
•Jun 1, 2020
I guess the best I ever have, very informative, and the instructor explains the ideas very systematically and clearly.
创建者 Dushyant S
•Jun 23, 2019
This course is helpful for who are beginner in machine learning field and want to learn basic concepts of mathematics.
创建者 Rishi C
•Feb 5, 2019
This course is EXACTLY what I needed - a demonstration of the ideas of linear algebra and how to implement those ideas
创建者 Sampath k R
•Aug 25, 2020
It's very interesting and more informative I enjoyed very much and learned some thing. Thank you for the opportunity.
创建者 Adnan S
•Jun 17, 2020
Great course to get started with Mathematical Tools one wants to learn in order to get started with Machine Learning.
创建者 Jason B
•Mar 19, 2020
Loved instructors, well-paced. It can get confusing at times in the quizzes, forums will not help you in this course.
创建者 XL T
•Mar 12, 2020
totally refreshing way to learn linear algerbra. This course opens my eyes. Thanks so much for bring it to the world!
创建者 Kurt G
•Aug 4, 2019
This course is brilliantly explained. I will be reviewing the lecture videos from time to time to refresh my memory.
创建者 Muhammad T Z
•Aug 20, 2021
It was a fantastic course. The visualization and explanations were top notch. Overall I liked this course very much.
创建者 Dheanisa W
•Mar 12, 2021
i never like math like now. the instructors were very clear and also fun, so i didn't got bored easly in this course
创建者 Nuno A
•Feb 8, 2021
It was really fun and understandable for someone that didn't study any math in the last couple of decades (like me).
创建者 Dannu L
•Nov 30, 2020
Professor David Dye is very good at teaching linear algebra, making these hard/dry topics more easily to understand!
创建者 Andre S
•Aug 26, 2020
Great course to learn new things in Linear Algebra, while recalling what I have learned in undergraduate mathematics
创建者 Sigurd G L F J
•Aug 19, 2020
Best Linear Algebra course ever.
I have done it several times during my life time but this was the one best explained
创建者 RICARDO H R
•Jun 18, 2020
Great course, the instructors are super cool and they explain the content pretty well, I also liked the assignments.
创建者 Anuj A
•May 31, 2020
The course was challenging and was very useful for me to get thorough knowledge of mathematics for machine learning.
创建者 David C
•Jan 8, 2020
I learned more in 4 weeks than 1 semester at the University, I am grateful to you for sharing this wonderful course.
创建者 Michael H
•Sep 18, 2023
Great presenntations - engaging and clear. Throught provoking but doable assessments. Good to use python exercises.
创建者 Adeyinka O
•Sep 11, 2022
The contents are deep, illustrative, and presented with great impacts. It is worth all the effort and time devoted