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.
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GUIDED TOUR OF MACHINE LEARNING IN FINANCE からの人気レビュー
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
Great course! Relevant concepts are described in the videos and the bibliography is accurate to cover the rest.
Very Difficult - Impossible to succeed without very strong prior experience. Would deserve more guidelines
The course is easy to understand and give insightful details on how to apply machine learning in finance
Leans heavily on explaining differences between tech and finance applications of ML, but still great!
Excellent. I picked up quite a bit of ML as applied to finance through this fast paced course.
It would be great the background theory of related concept are explained in optional videos.
Audio could be better. Low recording volume makes it difficult to listen sometimes.
The course content is okay, but the programming assignments are not well designed.
NYUタンドン・スクール・オブ・エンジニアリング（New York University Tandon School of Engineering）
Tandon offers comprehensive courses in engineering, applied science and technology. Each course is rooted in a tradition of invention and entrepreneurship.
Machine Learning and Reinforcement Learning in Finance専門講座について