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.
This course is part of the Machine Learning and Reinforcement Learning in Finance Specialization
Offered By
Machine Learning and Reinforcement Learning in Finance SpecializationNew York UniversityAbout this Course
Learner Career Outcomes
50%
started a new career after completing these courses
47%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 4 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 24 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
Instructor
Learner Career Outcomes
50%
started a new career after completing these courses
47%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 4 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 24 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
Offered by
New York University
New York University is a leading global institution for scholarship, teaching, and research. Based in New York City with campuses and sites in 14 additional major cities across the world, NYU embraces diversity among faculty, staff and students to ensure the highest caliber, most inclusive educational experience.
Syllabus - What you will learn from this course
3 hours to complete
Artificial Intelligence & Machine Learning
3 hours to complete
11 videos (Total 75 min), 3 readings, 1 quiz
6 hours to complete
Mathematical Foundations of Machine Learning
6 hours to complete
6 videos (Total 45 min), 3 readings, 2 quizzes
6 hours to complete
Introduction to Supervised Learning
6 hours to complete
7 videos (Total 75 min), 4 readings, 2 quizzes
10 hours to complete
Supervised Learning in Finance
10 hours to complete
9 videos (Total 66 min), 4 readings, 3 quizzes
Reviews
TOP REVIEWS FROM GUIDED TOUR OF MACHINE LEARNING IN FINANCE
by KDAug 23, 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.
by VBAug 25, 2018
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.
by MSDec 31, 2018
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
by XZJul 31, 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.
About the Machine Learning and Reinforcement Learning in Finance Specialization
The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practical problems in Finance.
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