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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

HK

Jan 17, 2020

Great general overview of machine learning. I think the course can be re-organized to incorporate some of the theory and some coding tips as well, however.

CO

Apr 18, 2019

Very Difficult - Impossible to succeed without very strong prior experience. Would deserve more guidelines

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51 - 75 of 210 Reviews for Guided Tour of Machine Learning in Finance

By yuan z

•

May 16, 2024

I really recommend this course,some courses your learn just tell you what to do,but when you finish this one,you will want to dig deeper.wonderful!

By Arka P B

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May 28, 2018

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

By David W

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Sep 9, 2019

Leans heavily on explaining differences between tech and finance applications of ML, but still great!

By Roman V

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Dec 2, 2023

Nice, but update the version of tensor flow or provide special pdf file with 1.10.1 documentation.

By Dinesh T

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Jan 15, 2024

great content - concenpts and programming assignment challenging but worth going thru the pain :)

By Gourav S

•

Dec 25, 2021

Nicely designed course. Very helpful for better understanding of ML use cases in finance domain.

By Swaminathan S

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Mar 18, 2019

Excellent. I picked up quite a bit of ML as applied to finance through this fast paced course.

By Luis G

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Aug 19, 2018

Audio could be better. Low recording volume makes it difficult to listen sometimes.

By GUILLERMO R

•

Nov 29, 2018

Excellent Course, Professor clases are good complement for other ML courses.

By Deleted A

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May 31, 2020

So mouch happy to take the modules, good content, good resources, Thanks

By EDGAR H M

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May 6, 2020

Muy buen curso aunque retador en sus trabajos de programación

By LJ

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Oct 15, 2018

Very good course! Thank you, Professor Igor Halperin

By Pavel K

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Nov 28, 2018

A very informative and well paced intro to ML / DL

By Luis A

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Nov 15, 2018

Excellent overview of machine learning in finance

By Sileye B

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Dec 21, 2020

I enjoyed thi introduction to ML for finance.

By mohamed h

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Oct 27, 2019

thanks coursera for this amazing course

By Yergali B

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Jan 4, 2019

Thank you, for this very useful course!

By mohab m

•

May 7, 2024

in depth approach to machine learning

By Daria Y

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May 15, 2020

Great introduction to ML in Finance!

By Vilimir Y

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Mar 2, 2020

A great course by a great lecturer!

By Yuning C

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Sep 8, 2018

A great course with deep insight.

By Muntu M

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Jan 18, 2020

Excellent Course, Well presented

By pruthvi i

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Apr 5, 2020

Very well taught course!

By Jenny Y

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Sep 17, 2018

very practical for me.

By Yangtao W

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Dec 2, 2018

very good course!!!