Here’s a sampling of some of the case studies, labs and projects you will be working on as part of this program.
A campaign to sell personal loans
Identify potential customers for a personal loan product for a bank, allowing the bank to design targeted marketing campaigns to increase conversion.
Predictive analytics of taxi demand
Using data on New York City’s taxi supply and commuter demand, additional data from Uber, and extraneous factors; forecast demand and make predictions on wait times for a taxi.
Customer sentiment from Amazon reviews
Build machine learning models that can determine and predict the sentiment from text reviews on Amazon’s website.
Visualizing vintage art sales
Use a variety of visualization techniques to understand the features of paintings and purchase patterns across the American art market.
Handwritten digit recognition
Given a series of handwritten digits, interpret these images and classify them appropriately to display actual numbers using neural networks.
Using planning frameworks and appropriate search techniques, learn to solve a logistics planning problem that is traditionally one of the hardest (and most impactful) problems for a host of companies.
Network intrusion detection
Build a network intrusion detection system and improve the accuracy of your prediction using a series of ensemble techniques.
This is just a small, indicative sample of the kinds of problems you will learn to
solve as part of this program. Faculty are constantly working to expose you to a
broad array of scenarios and you can expect other such problems as part of your