Comentários e feedback de alunos de Mathematics for Machine Learning: Multivariate Calculus da instituição Imperial College London
Sobre o curso
Melhores avaliações
Nov 26, 2018
Great course to develop some understanding and intuition about the basic concepts used in optimization. Last 2 weeks were a bit on a lower level of quality then the rest in my opinion but still great.
Aug 04, 2019
Very Well Explained. Good content and great explanation of content. Complex topics are also covered in very easy way. Very Helpful for learning much more complex topics for Machine Learning in future.
676 — 700 de 706 Avaliações para o Mathematics for Machine Learning: Multivariate Calculus
por Alfred S
•Jan 13, 2019
Course would be prefect if there would not be technical issues with opening notebooks. It slows me down by 1 week. But content was really relevant to ML.
por Kumar S
•Aug 09, 2020
Overall average course. Not that much good as expected because of David Dye. He was teaching very poor in this course as compared to course-1.
por TirupathiRao p
•May 21, 2020
Last 2 weeks completely diverged. Failed to converge. I wish content was more elaborate.First course of this specialization was far better.
por MAYANK G
•Jul 04, 2018
Role of discussion forum is very less. Please improve on that to have healthy participation. Otherwise, course content is really good.
por Nabijonov K T
•Dec 07, 2019
first 4 weeks were good. Starting from week 5 course explanation was bad. Was required to watch other videos.
por Lieu Z H
•Nov 18, 2019
Lecture videos are quite sparse, and the quizzes test things that they don't teach you in the lecture
por Saurabh M
•Sep 29, 2020
A bit fast paced, could be much more beneficial with some added explanations.
por Lee j
•May 23, 2019
Too fast to understand what instructors says.. but lecture contents are good
por Akeel A
•Aug 29, 2020
It was a lot of fun at points. Would recommend to anyone else.
por Gurrapu N
•Apr 07, 2020
Strong disconnect between teaching videos and assignments.
por joseph k
•Apr 13, 2020
Course would enhanced if pdf's of lectures were provided.
por Alkis G
•Jul 14, 2019
There is a decent space for course improvement.
por prudhvi
•Jun 23, 2019
week 6 content is not clear at least for me .
por สิทธิพร แ
•Jun 13, 2020
Week 5 and 6 Lecture quite poor
por Leigh F
•May 29, 2019
Concepts not clearly explained.
por Aviv P
•Dec 06, 2018
many topic were explained badly
por Vivek P D
•Sep 10, 2019
Explanation is not in depth
por Mahmoud T
•Mar 30, 2020
Dr.Sam Cooper is the best.
por Abdelftah M
•Apr 05, 2020
Change the bald man.
por Rishabh J
•Mar 08, 2019
Not very challenging
por Tianchi M (
•Jul 04, 2018
NOT VERY SYSTEMATIC
por chanhee
•Apr 17, 2020
It's nice
por Alexander M
•Jan 23, 2020
.,
por Alois H
•Jul 22, 2020
The material is great and very relevant to anything connected to data science, however, I didn't enjoy this course half as much as the first in the series.
It's way too dense, things appearing on the screen where it's not clear where they're coming from, explanations feel scripted and read out at high speed, frequently unclear.
If you're using screen shots for taking notes (as I do), that's not ideal either because they're writing on a glass pane while they're standing behind it.
I'm working full-time and had to take this course stretched out over a long time. Again, the presentation being so dense doesn't help there either.
All in all it feels like a published first draft of the course, it doesn't seem the instructors are trying to improve the course at all.
por Paul K M
•Oct 24, 2019
I am not sure if this course is for people who know calc, and want to learn python coding or people who know coding and want to learn some calc? Frankly it isn't a great course for either group. I knew some calc, and some python going in, and I did expand my knowledge and gain some useful practice. But it left me craving rigor.
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