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
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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.
DV
Jun 24, 2019
This was a terrific course; the instructors' are passionate and knowledgeable about the course material, the assignments are engaging and relevant, and the length of the videos feels "just right".
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