Publications by Zach Herold, Anthony Pagan, Betsy Rosalen
Data 612 Research 3
Introduction Many of the biases discussed in the “When Recommendations System Go bad” video are just a few of the everyday biases many Americans have been living with long before the advances of big data and AI. The history of our nation has ingrained biases for many generations. Using historical data from systematically flawed thinking is a ...
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Data 612 Project 4
The goal of this assignment is give you practice working with accuracy and other recommender system metrics. Get Data The dataset was retrieved from kaggle website. The data includes user ratings for restaurants from 0-2 with 2 as the highest rating. Ratings include ratings , food ratings and service ratings. We table the initial ratings , then ...
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Data 612 Project 5
The goal of this project is give practice beginning to work with a distributed recommender system. Adapt one of your recommendation systems to work with Apache Spark and compare the performance with your previous iteration. Introduction In this project we are using partial code from Project 2 to compare code excecution speed in R, Local Databric...
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Data 698 Final Project
Introduction Many organizations rely on monitoring systems to monitor performance of their backend systems. The expectation is that the monitoring will notify support staff when critical systems are in a critical state. Unfortunately, many time support teams are only alerted after a system is degraded. In some cases, manual monitor tuning results...
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