Publications by Emmanuel Hayble-Gomes
Data 612-Discussion2
Instruction Please complete the research discussion assignment in a Jupyter or R Markdown notebook. You should post the GitHub link to your research in a new discussion thread. For this discussion item, please watch the following talk and summarize what you found to be the most important or interesting points. The first half will cover some of th...
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Data 612-Project5
1 Introduction The goal of this project is give you practice beginning to work with a distributed recommender system. It is sufficient for this assignment to build out your application on a single node. 2 Assignment Highlights Adapt one of your recommendation systems to work with Apache Spark and compare the performance with your previous itera...
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Data 612-Discussion4
Instruction Please complete the research discussion assignment in a Jupyter or R Markdown notebook. You should post the GitHub link to your research in a new discussion thread. Read one or more of the articles below and consider how to counter the radicalizing effects of recommender systems or ways to prevent algorithmic discrimination. Renee Dir...
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Data 612-Final Project Proposal
1 Introduction The goal for the final project is for you to build out a recommender system using a large dataset (ex: 1M+ ratings or 10k+ users, 10k+ items. There are three deliverables, with separate dates: Planning Document Find an interesting dataset and describe the system you plan to build out. If you would like to use one of the datasets yo...
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Data 612-Final Project
Introduction The goal for the final project is to build out a recommender system using a large dataset (ex: 1M+ ratings or 10k+ users, 10k+ items. There are three deliverable, with separate dates: The overall goal, however, will be to produce quality recommendations by extracting insights from a large dataset. I intend to build recommendation sys...
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Data 612-Discussion3
Instruction Please complete the research discussion assignment in a Jupyter or R Markdown notebook. You should post the GitHub link to your research in a new discussion thread. As more systems and sectors are driven by predictive analytics, there is increasing awareness of the possibility and pitfalls of algorithmic discrimination. In what ways d...
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Data 612-Project4
1 Introduction The goal of this assignment is give you practice working with accuracy and other recommender system metrics. In this assignment you’re asked to do at least one or (if you like) both of the following: • Work in a small group, and/or • Choose a different dataset to work with from your previous projects. 2 Assignment Highlights...
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Data 622
1) What is null deviance in the context of Logistic Regression? The deviance is a concept in generalized linear models that measures the fitted generalized linear model with respect to a perfect model known as the saturated model. In logistic regression this would be the model such that: \(\hat{P}[Y = 1|X_1 = X_{i1}, ..., X_k = X_{ip}] = Y_i,\) i...
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