Bewertung und Feedback des Lernenden für Mathematics for Machine Learning: Linear Algebra von Imperial College London
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Top-Bewertungen
EC
9. Sep. 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.
NS
22. Dez. 2018
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.
1826 - 1850 von 2,141 Bewertungen für Mathematics for Machine Learning: Linear Algebra
von Huaiji G
•16. Nov. 2021
It would be better if more detailed explanations are given to complex problems from week 3 onward.
von Yuhao W
•8. Okt. 2020
the 2nd half part of the eigenvectors is a bit fragmented and could be given one more week on it.
von Dr. H K L
•5. Mai 2020
it is good, and very use full to any one, if those are in teaching field as a mathematics teacher
von Ajay R
•11. Sep. 2019
Tough course, but got better understanding of topics related to math behind real-world ML models.
von Ahmed O H
•29. Jan. 2020
It's not perfect, but I hope if the last of the specialization is more practicable and flexible.
von Sudeep P
•2. Juni 2020
I am really happy with the course as it helped me to understand the core concept of algortihms.
von Hamza F
•24. März 2020
A well constructed course that can address students coming from different academic backgrounds.
von Marwa A E K
•18. Okt. 2019
I learned and developed intuition of the concepts covered in this course, which I'm happy with.
von Berkay E
•26. Juli 2019
Some of the concepts are unclear. You need to make extra research to understand whole concepts.
von Liang Y
•16. Apr. 2019
Very good I learn a lot though I get confused in Week 4 about E @ TE @ inv(E). Thank you profs!
von Vinayaka R K
•15. Aug. 2020
The eigwn vector parts could've been much much better, rest apart assignments were really good
von Mohamed A A
•23. Juni 2020
very good for beginners who want to understand what happens in machine learning under the hood
von Md. M I
•3. Mai 2020
A little more assignments might be good towards the end. Otherwise, it is an excellent course.
von Alexander D K
•21. Aug. 2019
Fairly good introductory course but not a substitution for a proper LA course for ML purposes.
von MIGUEL A G H
•27. Dez. 2020
Very usefull to deep in the mathematical foundations of machine learning. Very recommendable.
von Andrew X
•2. Nov. 2020
In week 5, some practice questions seems a little irrelevant to the key mathematical concepts
von Aditya G
•2. Sep. 2019
The course is really nice. A bit of programming experience is needed to complete this course.
von Nishant A
•4. Juni 2018
Brilliant brush up course. Could have had a little more about eigen vectors and eigen values
von bowman
•24. Juli 2020
it's an execlent course, but week5 should be extend to make it clear and easy to understand
von Utkarsh L
•15. Mai 2020
Some video lectures should be there which will give some ideas about how to do programming.
von George P
•12. Apr. 2020
Excellent course as a refresher if you've studied Physics and need to recover the content
von Peeyush S K
•20. Nov. 2021
Teaching Style and the Teaching Aids were very effective. Personally I liked the course.
von Elnur M
•8. Apr. 2020
I think it would be better if you add Singular Value Decomposition concept into syllabus
von Hayder M A
•25. Apr. 2020
Very useful materials and the instructors are very good and make it easy to understand.
von parikshit s
•16. Feb. 2020
Really Good course, learnt a lot of things, just wanted this course to be in more depth
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