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.
Exceptional disposition and lucid explanations! Ideal for a Risk Management professional to sharpen machine learning skills!
por Fred U•
Great lectures. Homework is not trivial: it requires web searches and significantly more perseverance than, say, Andrew Ng's courses. Only 4 stars because I didn't see any recent signs of active support in the Forums.
por Marina Z•
The course seems a bit of date (tensorflow) and 'lazy' -- assignments are sloppy, not related to the content of lectures sometimes, sometimes just replay of things form reading material... Promised more than delivered.
por Nayan a•
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.
por Bozanian K•
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
por Jochen G•
Deep introduction into machine learning in finance. A bit outdated API-usage (Tensorflow 1), but nevertheless a great introduction for those who want to understand how the NN are processing the data.
por Mihails S•
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
por Zhiming X•
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.
por Maksim G•
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).
por Aydar A•
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)
por Hongsun K•
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.
por Manimaran P•
The Lectures and given readings are very useful and it is required to read them to complete the assignments which will otherwise be difficult
por Chad W L•
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.
por Ishrit T•
A more detailed introduction and guide to python for machine learning would have made this course one of the best out there
por Julien T•
Very interesting content well delivered, the programming assignments could benefit from a little more guidance IMHO.
por Kelly Y•
Great overview. Please provide more code examples as homework require a lot more than what the class covers!
por Songjie H•
Homework is not always consistent with what's covered in class. The recommended readings are very helpful.
por Takayuki K•
One of assignments was hard. Explanation by lecturer was very easy to understand and appropriate long.
por Amalka W•
It would be great the background theory of related concept are explained in optional videos.
por Martin K•
It's a good course. There are some missing explanations in the programming exercises.
por Zoraiz A•
Later assignmnets were difficult but lecture material is interesting and well taught.
por Rafael D d D•
Very good review and selected topics, although I would deep more on tensorflow use
por Zheng W•
The course content is okay, but the programming assignments are not well designed.
por Mohammed B•
Great course, but the coding projects are sometime hard to understand
por gayatri l•
Learned ML concepts and algorithms to be used in financial work.
por Edward W•
Would be cool if was update to use latest version of tensorflow