임페리얼 칼리지 런던의 Mathematics for Machine Learning: Linear Algebra 학습자 리뷰 및 피드백
강좌 소개
최상위 리뷰
NS
2018년 12월 22일
Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.
CS
2018년 3월 31일
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.
Mathematics for Machine Learning: Linear Algebra의 2,137개 리뷰 중 1826~1850
교육 기관: Dr. H K L
•2020년 5월 5일
it is good, and very use full to any one, if those are in teaching field as a mathematics teacher
교육 기관: Ajay R
•2019년 9월 11일
Tough course, but got better understanding of topics related to math behind real-world ML models.
교육 기관: Ahmed O H
•2020년 1월 29일
It's not perfect, but I hope if the last of the specialization is more practicable and flexible.
교육 기관: Sudeep P
•2020년 6월 2일
I am really happy with the course as it helped me to understand the core concept of algortihms.
교육 기관: Hamza F
•2020년 3월 24일
A well constructed course that can address students coming from different academic backgrounds.
교육 기관: Marwa A E K
•2019년 10월 18일
I learned and developed intuition of the concepts covered in this course, which I'm happy with.
교육 기관: Berkay E
•2019년 7월 26일
Some of the concepts are unclear. You need to make extra research to understand whole concepts.
교육 기관: Liang Y
•2019년 4월 16일
Very good I learn a lot though I get confused in Week 4 about E @ TE @ inv(E). Thank you profs!
교육 기관: Vinayaka R K
•2020년 8월 15일
The eigwn vector parts could've been much much better, rest apart assignments were really good
교육 기관: Mohamed A A
•2020년 6월 23일
very good for beginners who want to understand what happens in machine learning under the hood
교육 기관: Md. M I
•2020년 5월 3일
A little more assignments might be good towards the end. Otherwise, it is an excellent course.
교육 기관: Alexander D K
•2019년 8월 21일
Fairly good introductory course but not a substitution for a proper LA course for ML purposes.
교육 기관: MIGUEL A G H
•2020년 12월 27일
Very usefull to deep in the mathematical foundations of machine learning. Very recommendable.
교육 기관: Andrew X
•2020년 11월 2일
In week 5, some practice questions seems a little irrelevant to the key mathematical concepts
교육 기관: Aditya G
•2019년 9월 2일
The course is really nice. A bit of programming experience is needed to complete this course.
교육 기관: Nishant A
•2018년 6월 4일
Brilliant brush up course. Could have had a little more about eigen vectors and eigen values
교육 기관: bowman
•2020년 7월 24일
it's an execlent course, but week5 should be extend to make it clear and easy to understand
교육 기관: Utkarsh L
•2020년 5월 15일
Some video lectures should be there which will give some ideas about how to do programming.
교육 기관: George P
•2020년 4월 12일
Excellent course as a refresher if you've studied Physics and need to recover the content
교육 기관: Peeyush S K
•2021년 11월 20일
Teaching Style and the Teaching Aids were very effective. Personally I liked the course.
교육 기관: Elnur M
•2020년 4월 8일
I think it would be better if you add Singular Value Decomposition concept into syllabus
교육 기관: Hayder M A
•2020년 4월 25일
Very useful materials and the instructors are very good and make it easy to understand.
교육 기관: parikshit s
•2020년 2월 16일
Really Good course, learnt a lot of things, just wanted this course to be in more depth
교육 기관: Antoine P
•2021년 1월 20일
Really intersting. Could be a bit difficult for people without mathematical background
교육 기관: akhil
•2020년 5월 31일
Sam part wasn't so impressive. Really loved the way David has gone through the course.
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