This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance.
About this Course
학습자 경력 결과
완료하는 데 약 21시간 필요
학습자 경력 결과
완료하는 데 약 21시간 필요
뉴욕 대학교 공과 대학
Tandon offers comprehensive courses in engineering, applied science and technology. Each course is rooted in a tradition of invention and entrepreneurship.
- 5 stars
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- 1 star
GUIDED TOUR OF MACHINE LEARNING IN FINANCE의 최상위 리뷰
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.
More or less this course is good and interesting. However, homework assignments were awful. It's unclear and it's very hard to understand what is asked and how it would be graded.
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
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.
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).
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.
The Lectures and given readings are very useful and it is required to read them to complete the assignments which will otherwise be difficult
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.
The coding part could have been better explained and the reasoning for what is being done should be included in the coding videos.
Exceptional disposition and lucid explanations! Ideal for a Risk Management professional to sharpen machine learning skills!
A more detailed introduction and guide to python for machine learning would have made this course one of the best out there
Fantastic lectures, great first programming assignments with unfortunate tail quality of the programming assignments
Machine Learning and Reinforcement Learning in Finance 전문 분야 정보
자주 묻는 질문
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