To support our site, Class Central may be compensated by some course providers.

Guided Tour of Machine Learning in Finance

New York University (NYU) via Coursera

students interested
  • Provider Coursera
  • Subject Machine Learning
  • $ Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Start Date
  • Duration 4 weeks long

Taken this course? Share your experience with other students. Write review

Overview

Sign up to Coursera courses for free Learn how

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.

Taught by

Igor Halperin

Help Center

Most commonly asked questions about Coursera Coursera

Reviews for Coursera's Guided Tour of Machine Learning in Finance
1.0 Based on 5 reviews

  • 5 star 0%
  • 4 star 0%
  • 3 star 0%
  • 2 star 0%
  • 1 stars 100%

Did you take this course? Share your experience with other students.

Write a review
  • 1
Steven O
1.0 3 months ago
by Steven is taking this course right now, spending 5 hours a week on it and found the course difficulty to be medium.
I would give this class zero stars if I could. It is a great topic and I had high expectations. The assignments are poorly worded, instructions are vague and that is putting it mildly. The material required to complete the assignments is mostly not covered in the lectures. I can't believe NYU gives its name to this jumbled mess. Buyer Beware!
Was this review helpful to you? Yes
Anonymous
1.0 4 months ago
Anonymous is taking this course right now.
Submission of assignments were extremely problematic. Despite many of the students agreeing on the forum that we were working on it correctly. Worst is grading always return error but nothing is done on the instructor side to resolve them. Instructors were not very responsive.

Was this review helpful to you? Yes
Anonymous
1.0 3 months ago
Anonymous completed this course.
The subject is great but the instructor doesn't give you any detailed clue for doing the assignment. He seems that he is reading the speech from a monitor so there is no difference between him and a text to speech machine.
Was this review helpful to you? Yes
Nauman A
1.0 4 months ago
Nauman is taking this course right now.
Disappointed. Not what was expected. Assignments were a big headache too. The lecturer wasn't good either. Dropped the course because it didn't meet the initial expectations.
Was this review helpful to you? Yes
Joakim K
1.0 a month ago
Joakim is taking this course right now.
Grading has been down for two weeks now. No student have been able to submit assignments. The forums is full of complaints, non of the teaching staff is responding.
Was this review helpful to you? Yes
  • 1

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free

Never stop learning Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.