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.
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 kumar s
•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.
by TirupathiRao p
•Last 2 weeks completely diverged. Failed to converge. I wish content was more elaborate.First course of this specialization was far better.
by MAYANK G
•Role of discussion forum is very less. Please improve on that to have healthy participation. Otherwise, course content is really good.
by Kamol N
•first 4 weeks were good. Starting from week 5 course explanation was bad. Was required to watch other videos.
by Lieu Z H
•Lecture videos are quite sparse, and the quizzes test things that they don't teach you in the lecture
by Saurabh M
•A bit fast paced, could be much more beneficial with some added explanations.
by Lee j
•Too fast to understand what instructors says.. but lecture contents are good
by Akeel A
•It was a lot of fun at points. Would recommend to anyone else.
by Gurrapu N
•Strong disconnect between teaching videos and assignments.
by joseph k
•Course would enhanced if pdf's of lectures were provided.
by Alkis G
•There is a decent space for course improvement.
by prudhvi
•week 6 content is not clear at least for me .
by สิทธิพร แ
•Week 5 and 6 Lecture quite poor
by Leigh F
•Concepts not clearly explained.
by Aviv P
•many topic were explained badly
by Vivek P D
•Explanation is not in depth
by Mahmoud T
•Dr.Sam Cooper is the best.
by Abdelftah M
•Change the bald man.
by Rishabh J
•Not very challenging
by Reena J
•contents Are Useful
by Tianchi M (
•NOT VERY SYSTEMATIC
by chanhee
•It's nice
by Alexander M
•.,
by Alois H
•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 Paul K M
•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.