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!
von Mohamed H a e r•
Oct 27, 2019
thanks coursera for this amazing course
von Pedro M H V•
Dec 06, 2018
Potentially great course with bridges technology (machine learning methods) and application (finance), but as for now it is really rough around the edges. Still needs to improve in terms of video lectures, resources and assignments; but once polished it could be a great course/specialization.
von Mihails S•
Jan 01, 2019
Despite all the problems with the assignments and the grader this course provides really good overview ML tools and their application to finance. It's definitely worth the effort
von Takayuki K•
Jan 18, 2019
One of assignments was hard. Explanation by lecturer was very easy to understand and appropriate long.
von Hashim M•
Dec 29, 2018
A much needed course by a very seasoned expert in the field, bringing the right blend of backgrounds in finance and tech. The course is well designed for finance professionals with some coding background and for technology professionals with some finance background - which is unique in that sense. Some bridging between lectures and assignments is needed but that kind of fine tuning is inevitable and as more students enroll, the discussion rooms and feedback will provide that sharpening at the edges organically. All in all, I enjoyed the course a lot and look forward to the next three in the specialization!
von Xu Z•
Aug 01, 2018
The course content is a mix of theory and practical stuff. One star off is due to the poor quality of programming assignment, i.e., unclear instructions and explanations.
von 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
von Bozanian K•
Aug 14, 2018
Very interesting course. Covers the main algorithms of supervised machine learning and their applications to the world of finance. The one and only down is that programming session are a little hard to understand
von Russell H•
Sep 01, 2018
Good overview of ML in Finance, clearly based on real-world experience. Would not recommend this as a first ML course; probably more useful after first taking another more general course, such as Guestrin's UW ML specialization. Some of the quizzes and exercises seem a bit rushed; e.g., out of order vs. the lectures and not clear about what is required. It was sometimes necessary to consult the discussion forums for clarification. The most useful part may be the categorization of ML algorithms along different axes, including applicability to different areas of finance. The readings and coding exercises seem to come mostly from Geron's O'Reilly book, so plan on buying that (it's a great book, so you should buy it whether you take this course or not).
von Alexander R•
Oct 17, 2018
Assignments were whack...
von Amalka W•
Sep 13, 2018
It would be great the background theory of related concept are explained in optional videos.
von Jose G H C•
Sep 15, 2018
Um curso um que demanda um pouco mais que o usual, partindo desde o princípio de um ritmo rápido, com tarefas contendo explicações de somente o estritamente necessário. Entretanto, com uma temática muito interessante, e utilizando de várias técnicas.
von Julien T•
Sep 17, 2018
Very interesting content well delivered, the programming assignments could benefit from a little more guidance IMHO.
von Zheng W•
Sep 22, 2018
The course content is okay, but the programming assignments are not well designed.
von Philip T•
Oct 04, 2018
Assignments are extremely difficult because the instructions are not clear. I understand that the act of working through the assignments is how you learn the material, however, this goes beyond that. It felt like a battle.
von 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.
Jun 25, 2018
The projects are not so understood.
von 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)
von Nayan a•
Jun 05, 2019
Lectures are mostly short review of the topic. So you should know topics beforehand or supplement it with readings. Problems are great, you cannot solve it unless you understand the concept properly, so that good point.
von 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).
von 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
von Noordeen m•
Jun 23, 2019
was good but expect alitle explanation on the finance stuff
von Benny P•
Dec 06, 2019
This course has been informative, and extremely FUN! This is not to say that it's perfect, in fact as others say the assignments are quite challenging because there's little introduction to the problem/solution being asked. But that's exactly where the fun is! You need to search for the information yourself to solve the problem, much like in the real world. In fact I took another course on TensorFlow in the middle of this course to finish the assignment. But I can imagine this would be frustrating for those with less background on ML or programming, or people who expect everything to be presented smoothly for them.
von Umendra C•
Nov 18, 2018
Course material is good and a rating of 4 stars or more would have been a fair one, if it was not for very poorly designed and ill prepared assignments. The teaching staff really need to step up a level or two for the assignments.
The course content is good and that the only reason, I am still sticking with this specialization.
von Vicente I•
Dec 20, 2018
It lacks information on how to proceed on NN coding.