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Learner Reviews & Feedback for Fundamentals of Machine Learning in Finance by New York University

3.7
stars
338 ratings

About the Course

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....

Top reviews

LA

Jan 6, 2019

Excellent course. I only wish to have had programming assignment with RNN and Hidden Markov Models instead of three assignments on PCA. Although they highlighted a interesting application in finance.

AT

Aug 9, 2019

Furthered my understanding of how probabilistic models are connected to Machine Learning models. Very happy with the content in this course.

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76 - 81 of 81 Reviews for Fundamentals of Machine Learning in Finance

By Pablo M

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Aug 2, 2024

too many bugs and problems with weekly tasks. Spend more time trying to solve problems than learning about them. The videos and explanations are very good and complete.

By Chaofan S

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Mar 19, 2020

The assignment is not related to the contents and has bugs that no one responds.

By Arnav S

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Mar 17, 2020

Too bland. Reading off the slides. Couldn't understand anything.

By Ehsan F

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Feb 27, 2020

one of the worst courses I took in Coursera

By Ivan G

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Apr 2, 2024

Peer review for lab is a poor idea.

By Wolfy G

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Nov 13, 2022

Lab issue not fixed