Aug 24, 2019
Introduction of ML for Financial application with combination of Scikit learn, Statsmodels and Tensorflow with neuralnets made this class very interesting. Learned and Enjoyed lot.
May 28, 2018
Exceptional disposition and lucid explanations! Ideal for a Risk Management professional to sharpen machine learning skills!
par Maksim G•
Jun 10, 2019
Good material but assignments explanation were too sparse and even expectation of material not covered in videos or readings (example is Tobit regression in week 4).
par Aydar A•
May 24, 2019
To much math in lectures, assignments are not coherent and complicated, im not sure that i need tensorflow from scratch to work with finance(Keras fits better)
par Hongsun K•
Jan 18, 2020
Great general overview of machine learning. I think the course can be re-organized to incorporate some of the theory and some coding tips as well, however.
par Manimaran P•
Aug 11, 2018
The Lectures and given readings are very useful and it is required to read them to complete the assignments which will otherwise be difficult
par Chad W L•
Jul 12, 2018
This will be a 5 star course when all of the technical issues are resolved. More timely feedback from the staff is desirable as well.
par Ishrit T•
Jun 16, 2019
A more detailed introduction and guide to python for machine learning would have made this course one of the best out there
par Julien T•
Sep 17, 2018
Very interesting content well delivered, the programming assignments could benefit from a little more guidance IMHO.
par Takayuki K•
Jan 18, 2019
One of assignments was hard. Explanation by lecturer was very easy to understand and appropriate long.
par Amalka W•
Sep 13, 2018
It would be great the background theory of related concept are explained in optional videos.
par Rafael D d D•
May 02, 2020
Very good review and selected topics, although I would deep more on tensorflow use
par Zheng W•
Sep 22, 2018
The course content is okay, but the programming assignments are not well designed.
par Mohammed B•
Feb 02, 2020
Great course, but the coding projects are sometime hard to understand
par Gayatri L•
Feb 07, 2020
Learned ML concepts and algorithms to be used in financial work.
par Noordeen m•
Jun 23, 2019
was good but expect alitle explanation on the finance stuff
Jun 25, 2018
The projects are not so understood.
par Wei-Chun K•
Apr 27, 2020
The grading system isn't good.
par Alexander R•
Oct 17, 2018
Assignments were whack...
par Kevin C N•
Apr 26, 2020
par Roland E•
Jan 09, 2020
The assignments and project are very briefly explained. It took me a lot of unnecessary time to figure out what I was supposed to do. Also the discussion forum is inactive and I have a feeling many leave after seeing not anyone respond to their questions. I think there should be one or two dedicated support answering questions at least within 3 days.
The level of the course in general is pretty high, definitely not beginners level, which is fine I guess, but I do find the lectures are at times going very quick and at times overcomplicate. I would prefer an example to start simple and from there to build for a more complex situation. (For example start the bank failure with say 3 main features and show how you can decide to add another one by showing its impact through deviance and multicollinearity and show how you can then decide to add this new feature or not.)
par Fabien N•
Jan 12, 2020
Actually I was finding that course amazing at first, but I gradually became very upset. The notebooks are way too high level and not self-explanatory. The teacher seems amazing by his knowledge, but one are left with the notebooks without knowing what to do, and the lectures only partially help to solve the problems. A lot of search online needs to be done and I don't think that is the spirit of Coursera courses. I was planning to pay for the whole specialization but unfortunately I will have to give up on this course that was very motivating at first...
par Luis S M•
Mar 29, 2020
The lectures, as well as the quizzes, are great and coherent. However, the practical assignments, which are supposed to be the moment of cross-checking your level of comprehension of the learned topics are rather frustrating. I believe it would be of great help to future course takers to clearly state your expectations (e.g. through more detailed exercise descriptions) and introducing vital concepts before requiring their use.
par Ruixin Y•
Jun 18, 2018
Spent more time than expected. And when I tried to access the last assignment, it showed "404 : Not Found You are requesting a page that does not exist!"I understand the professor and other TA put a lot of effort on these courses, but I would say the assignments are not well organized, and more instructions are needed. Really hope the instructors could update/improve the courses/assignments. Thanks.
par Debasish K•
Feb 26, 2019
Good because it gives a high level good overview of ML in Finance, SVM and Tensorflow.
However, Some examples are very easy and some have been made difficult by providing no references. Tobit regression was very vague. No links to proper reference. Neural Network was the example from Geron's Handbook but there were errors in the custom function that was defined.
More mathematical depth is required.
par Vincent L•
Aug 25, 2019
extremely hard to follow, but better than when it originally came out. I had signed up after numerous ML courses and tried to skip to the later courses in this specialization. I got stuck trying to implement some crazy equations. I'm ok with looking up api methods, but the need to look out for reshaping is troublesome because it's inconsistent throughout the course. Overall, hard to follow.
par Desi I•
Sep 18, 2018
Good overview of ML and some basic applications to finance.
The pace is very good for people with some training in statistics and maths.
The assignments, however, are not particularly clear and with some obvious errors. There's room for improvement in the description of the exercises as well as including some tests to verify that you're getting the correct output.