SS
Aug 3, 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.
DP
Nov 25, 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.
By Lawrence L
•Jan 27, 2024
Go over the derivatives extremely quick
By Yusuf T
•Jul 28, 2021
Need to focus more on the details.
By สิทธิพร แ
•Jun 12, 2020
Week 5 and 6 Lecture quite poor
By Leigh F
•May 29, 2019
Concepts not clearly explained.
By Aviv P
•Dec 6, 2018
many topic were explained badly
By Vivek P D
•Sep 10, 2019
Explanation is not in depth
By Mahmoud T
•Mar 30, 2020
Dr.Sam Cooper is the best.
By Yap C Y
•Mar 14, 2021
need more explanations
By Abdelfattah M
•Apr 5, 2020
Change the bald man.
By Rishabh J
•Mar 8, 2019
Not very challenging
By Reena J
•Dec 5, 2020
contents Are Useful
By Tianchi M (
•Jul 4, 2018
NOT VERY SYSTEMATIC
By itwipsy17
•Apr 17, 2020
It's nice
By Alexander M
•Jan 23, 2020
.,
By Alois H
•Feb 18, 2021
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.
By norlesh
•May 30, 2021
There is a total disconnect between what is 'taught' in the videos and what is tested in the questions, and no reference to any written material meaning the student is required to go and learn the tested material somwhere else in order to pass... Perhaps it is good for screening those that have the knowledge, but it is rubbish for teaching it.
By 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.
By Priscilla V A
•Mar 27, 2021
It's hard for me to do the coding since the course video doesn't provide any coding or any supplemental reading
By Long C
•Feb 8, 2022
with poor explanations of theories and without examples
By Mohammed A A
•Jul 17, 2020
you must first give e more example and intuition
By Indira P
•Mar 24, 2021
Sorry but it is hard to understand
By Mariya O
•Mar 6, 2020
I am extremely disappointed with these classes... if you think you would learn something/ especially as a beginner/, well, you won't...material is not well organized and presented, topics jump from one place to another, the quiz and assignments have nothing to do with the lectures...nothing is well explained...you could get more information/explanation from wikipedia ...if you are here so you can get a certificate- do it...but you are here to actually learn something- run away, you can learn more for free from Khan Academy lectures.
By Hendrik V
•Nov 5, 2020
The time required is not realistic. Had to put in exponentially more hours than suggested. Instructors are not involved in the course. You ask a question and in a couple weeks another student might help.
By Kimberely C
•Dec 27, 2019
Definitely, not for beginners. Just as bad as the last one. They need to have more examples, which walk you through the ones like they give you on the homework as well as an example of how to do Python.
By Karl F
•Jun 11, 2022
First videos have no relatabilty to what the leanring ourcome should be. And assumes a indpeth knowlege of the conceopts being covered.