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!
автор: 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.
автор: 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
автор: 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
автор: Xu Z•
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.
автор: 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).
автор: 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)
автор: 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.
автор: 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
автор: 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.
автор: Ishrit T•
A more detailed introduction and guide to python for machine learning would have made this course one of the best out there
автор: Julien T•
Very interesting content well delivered, the programming assignments could benefit from a little more guidance IMHO.
автор: Songjie H•
Homework is not always consistent with what's covered in class. The recommended readings are very helpful.
автор: Takayuki K•
One of assignments was hard. Explanation by lecturer was very easy to understand and appropriate long.
автор: Amalka W•
It would be great the background theory of related concept are explained in optional videos.
автор: Zoraiz A•
Later assignmnets were difficult but lecture material is interesting and well taught.
автор: Rafael D d D•
Very good review and selected topics, although I would deep more on tensorflow use
автор: Zheng W•
The course content is okay, but the programming assignments are not well designed.
автор: Mohammed B•
Great course, but the coding projects are sometime hard to understand
автор: gayatri l•
Learned ML concepts and algorithms to be used in financial work.
автор: Edward W•
Would be cool if was update to use latest version of tensorflow
автор: Noordeen M•
was good but expect alitle explanation on the finance stuff
автор: Raphael R C•
Exercises need better explanations and code
The projects are not so understood.
автор: Wei-Chun K•
The grading system isn't good.
автор: Alek R•
Assignments were whack...