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.
EC
Sep 9, 2019
Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.
2101 - Mathematics for Machine Learning: Linear Algebra 的 2125 个评论(共 2,462 个)
创建者 Yuhao W
•Oct 7, 2020
the 2nd half part of the eigenvectors is a bit fragmented and could be given one more week on it.
创建者 Dr. H K L
•May 5, 2020
it is good, and very use full to any one, if those are in teaching field as a mathematics teacher
创建者 Ajay R
•Sep 11, 2019
Tough course, but got better understanding of topics related to math behind real-world ML models.
创建者 mohammad k
•Dec 9, 2023
very good course but the assignments of last two weeks are not difficult but annoying sometimes.
创建者 أحمد ع
•Jan 29, 2020
It's not perfect, but I hope if the last of the specialization is more practicable and flexible.
创建者 Sudeep P
•Jun 2, 2020
I am really happy with the course as it helped me to understand the core concept of algortihms.
创建者 Hamza F
•Mar 24, 2020
A well constructed course that can address students coming from different academic backgrounds.
创建者 Marwa A E K
•Oct 18, 2019
I learned and developed intuition of the concepts covered in this course, which I'm happy with.
创建者 Berkay
•Jul 26, 2019
Some of the concepts are unclear. You need to make extra research to understand whole concepts.
创建者 Mars F
•Apr 15, 2019
Very good I learn a lot though I get confused in Week 4 about E @ TE @ inv(E). Thank you profs!
创建者 Vinayaka R K
•Aug 15, 2020
The eigwn vector parts could've been much much better, rest apart assignments were really good
创建者 Mohamed A A
•Jun 23, 2020
very good for beginners who want to understand what happens in machine learning under the hood
创建者 Md M I
•May 3, 2020
A little more assignments might be good towards the end. Otherwise, it is an excellent course.
创建者 Alexander D K
•Aug 21, 2019
Fairly good introductory course but not a substitution for a proper LA course for ML purposes.
创建者 Miguel Á G
•Dec 27, 2020
Very usefull to deep in the mathematical foundations of machine learning. Very recommendable.
创建者 Andrew X
•Nov 2, 2020
In week 5, some practice questions seems a little irrelevant to the key mathematical concepts
创建者 Aditya G
•Sep 2, 2019
The course is really nice. A bit of programming experience is needed to complete this course.
创建者 Nishant A
•Jun 4, 2018
Brilliant brush up course. Could have had a little more about eigen vectors and eigen values
创建者 w w
•Jul 24, 2020
it's an execlent course, but week5 should be extend to make it clear and easy to understand
创建者 Utkarsh L
•May 15, 2020
Some video lectures should be there which will give some ideas about how to do programming.
创建者 George P
•Apr 12, 2020
Excellent course as a refresher if you've studied Physics and need to recover the content
创建者 Peeyush S K
•Nov 20, 2021
Teaching Style and the Teaching Aids were very effective. Personally I liked the course.
创建者 Elnur M
•Apr 8, 2020
I think it would be better if you add Singular Value Decomposition concept into syllabus
创建者 Hayder M A
•Apr 25, 2020
Very useful materials and the instructors are very good and make it easy to understand.
创建者 Parikshit S
•Feb 15, 2020
Really Good course, learnt a lot of things, just wanted this course to be in more depth