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

3.8
stars
680 ratings

About the Course

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. The goal of Guided Tour of Machine Learning in Finance is to get a sense of what Machine Learning is, what it is for and in how many different financial problems it can be applied to. 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

KN

Jul 25, 2022

Great course. but requires lot of patience. Uses lot of unnecessary symbols and equations to explain concepts. Overall it is a good overview of the big picture of ML in finance.

MG

Jun 9, 2019

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).

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201 - 210 of 210 Reviews for Guided Tour of Machine Learning in Finance

By Deleted A

•

Jul 31, 2018

The course content is okay but the assignments are so poorly designed and no one responds to the questions on Week3 assignment #5.

By Martin M

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Jul 19, 2021

Very difficult and boring to understand the instructor. Almost like a robot reading through a transcript.

By Ryland M

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Aug 8, 2018

horrendous on all fronts. so disappointed. hoping the next course in specialization is better.

By Alberto

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Sep 10, 2018

Assignments are very poorly explained and not always related to the lessons

By Saeed Z

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Jul 26, 2021

the assignment and the tutor's explanation regarding codings are horrible

By Matthieu B

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Aug 31, 2018

A guided tour with too many shortcomings and errors assessments.

By KAZIM B

•

Mar 5, 2025

The instructions are very vague

By Deleted A

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Jul 3, 2018

not what was expected

By paolo p

•

Feb 29, 2020

terrible course

By Andreas A

•

Nov 20, 2018

Horrible labs