What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of Machine Learning and Reinforcement Learning in Finance Specialization
Instructor: Igor Halperin
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(336 reviews)
(336 reviews)
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The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.
A learner with some or no previous knowledge of Machine Learning (ML) will get to know main algorithms of Supervised and Unsupervised Learning, and Reinforcement Learning, and will be able to use ML open source Python packages to design, test, and implement ML algorithms in Finance. Fundamentals of Machine Learning in Finance will provide more at-depth view of supervised, unsupervised, and reinforcement learning, and end up in a project on using unsupervised learning for implementing a simple portfolio trading strategy. The course is designed for three categories of students: Practitioners working at financial institutions such as banks, asset management firms or hedge funds Individuals interested in applications of ML for personal day trading Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course.
9 videos4 readings1 programming assignment1 ungraded lab
6 videos3 readings1 programming assignment1 ungraded lab
7 videos3 readings1 programming assignment1 ungraded lab
11 videos3 readings1 programming assignment1 ungraded lab
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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New York University
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New York Institute of Finance
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Specialization
336 reviews
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Reviewed on Sep 18, 2019
This is a great course, I strongly recommend. However, the assignments take a while to finish.
Reviewed on Jun 27, 2019
Good course with relevant topics, but assignments are not clear sometimes, lack of support with them.
Reviewed on Jul 24, 2020
Great class, but don't believe the programming assignment time estimates... takes way longer!
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