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

3.8
stars
543 ratings
171 reviews

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

KD

Aug 24, 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.

AB

May 28, 2018

Exceptional disposition and lucid explanations! Ideal for a Risk Management professional to sharpen machine learning skills!

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151 - 158 of 158 Reviews for Guided Tour of Machine Learning in Finance

By Boris S

Aug 21, 2018

Totally useless course. The professor has no idea how to teach. I recommend to take a good course in machine learning and a good course in finance instead this one.

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 Ryland M

Aug 08, 2018

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

By Alberto G C

Sep 10, 2018

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

By Matthieu B

Aug 31, 2018

A guided tour with too many shortcomings and errors assessments.

By Deleted A

Jul 03, 2018

not what was expected

By Paolo P

Feb 29, 2020

terrible course

By Andreas A

Nov 21, 2018

Horrible labs