AT
Aug 9, 2019
Furthered my understanding of how probabilistic models are connected to Machine Learning models. Very happy with the content in this course.
AT
Sep 2, 2019
Great course which covers both theories as well as practical skills in the real implementations in the financial world.
By Jacques J
•Dec 25, 2018
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.
By Aydar A
•Jun 27, 2019
Good course with relevant topics, but assignments are not clear sometimes, lack of support with them.
By Sergey M
•Sep 11, 2021
I liked the course, but the bugs in the programming assignments are sometimes unbearable.
By Bozanian K
•Aug 19, 2018
Add some hints in the notebooks, it was very hard to understand some parts
By gareth o
•Sep 28, 2020
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
By Dossiman
•Oct 11, 2018
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
By Harsh T
•Mar 11, 2020
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.
By Gerardo O
•Mar 31, 2020
Practical exercises are somehow disconnected from theory. Sometimes are not correctly guided and it is not clear the results they want to evaluate. Exercises can be done by navigating internet, the forums, but not reading the texts nor listening to the videos.
By Jochen G
•Jan 22, 2022
Content of the course is superbe. However, the exams are a little outdated (tensor flow 1.x) and not well curated (buggy, lacking explanations, grader does not help) With help of the forums, one can pass.
By Jordan B
•May 11, 2023
Lectures are great -- good content and concise. The programming assignments on the other hand, are poorly designed and hard to grasp. Discussion boards seem to be abandoned by instructors and assistants.
By Deleted A
•Jun 5, 2020
The programming assestment was uncorrelated to the content of the module, the main ideas are so great but thereis a problem connecting homework and content
By David C
•Dec 19, 2019
Good lectures, but the problem sets are difficult, contain errors, little guidance, and no mentor or staff available to help with problems.
By Yi W
•May 10, 2022
The lecture is ok but lacks of details and the project is poorly designed without much guidance.
By Lingzi P
•Feb 24, 2019
the course content is okay. but the coding exam really needs improvement.
By Todd C
•Sep 4, 2023
4.5 stars for lectures and <2 stars for homework design and environment
By Shaun M L
•Feb 18, 2022
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!
By Orestes S
•Jan 28, 2023
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!
By Mohammad A S ( S
•Mar 26, 2020
Not practical. Mainly just some complicated math formulas.
By Rudraroop R
•Jun 7, 2021
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.
By Diego D
•Apr 28, 2021
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.
By Amin D
•Dec 7, 2021
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.
By Chaofan S
•Mar 19, 2020
The assignment is not related to the contents and has bugs that no one responds.
By Arnav S
•Mar 17, 2020
Too bland. Reading off the slides. Couldn't understand anything.
By Ehsan F
•Feb 27, 2020
one of the worst courses I took in Coursera
By Ivan G
•Apr 2, 2024
Peer review for lab is a poor idea.