thanks coursera

Slow labs 4

Thank you!

Thank you!

Thanks

For me, I find the math kind of useless. It's too hard for notice to understand, and too deep for those who don't want to know. This course should focus on its applications on finance. But at least you have few notebooks that you can keep for future reference.

Good material..The course would improve a lot if there were clear explanations for the goals of the assignments and the plan for the assignment.. The codes for the assignment should be fully debugged..

So far so good. The lecturer refers to projects of which some weren't covered in this course. So a little confusing. Takes lots of googling to finish this course.

Good course with relevant topics, but assignments are not clear sometimes, lack of support with them.

I liked the course, but the bugs in the programming assignments are sometimes unbearable.

Add some hints in the notebooks, it was very hard to understand some parts

The course lecturing is good and having finance relevant examples is excellent but the programming exercises are very frustrating. The instructions are confusing and the final exercise requires a very long calculation that can time out. The forums are helpful though and it's all doable, a couple of tweaks and upgrading to Tensorflow2 would make this a 5* course

content of the lessons is quite good, I would give it 5 stars if the assignments weren't so buggy, contains mistakes, unclear instructions, no help from staff/moderator/instructor, technical issues that are not resolved, etc. a lot of frustration, it just feels like the course was rushed to production and they let the students debug it

Lectures assume that students know about Finance. For a person like me, all the finance terms are like jargon. Even though I have good knowledge of Machine Learning, the videos were difficult to follow. Not a very good amalgamation of Finance and Machine Learning.

4.5 stars for lectures and <2 stars for homework design and environment

Course idea is very good and I enjoyed the content but the homework and projects are really terrible. The work is not hard I just struggle to understand what they are even asking me to do in some cirucmstances , the notebooks don't always work and I ran into problems trying to complete them that based on the discussion forum have been problems for over 2 years!

There are issues with the assignments! For example Weeks 4, one cells takes 90 minutes to run which is non-ideal. Course needs more attention from its creators as it can have potential!

Not practical. Mainly just some complicated math formulas.

Utterly useless. Would give it zero stars if I could. The last assignment was just frustrating to complete, support is non existent, the lectures have little to do with the subsequent assignments, the assignments are outdated and teach you absolutely nothing about tensorflow as it is used today (read: who on earth doesn't use DENSE LAYERS in tf???). It's an absolute dump and I encourage you to stay away from this specialization altogether. Go do an Andrew Ng course instead if you want to learn something about Machine Learning. If you came into this with the object of expanding your ML knowledge into the financial realm and actually learning some finance along the way, then be assured that it won't help you accomplish anything. Hope I'm able to complete the specialization without smashing my computer in utter rage.

Horrible course. It feels useless to follow it as the lectures are a bunch of topics that the instructor presents by giving superficial notions of them. The assignments barely relate to the lectures. Moreover the assignment notebooks are full of errors which makes hard to complete them. It seems that none care about this as the same issues have been highlighet by the students months after months and there is no support from the staff. I am disappointed in how Coursera has let the students down. Don't waste your money on this course.

They did not spend 5 minutes on their assignment. You have to figure out the question and then find the answer by yourself. They do not teach what they ask for in assignment.

The assignment is not related to the contents and has bugs that no one responds.

Too bland. Reading off the slides. Couldn't understand anything.

one of the worst courses I took in Coursera

Peer review for lab is a poor idea.