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Dealing with Large CSV Files in R
Dealing with Large CSV Files in R This article shows how to deal with very large CSV files and the R programming language. R;CSV;large files 6442476084 04/01/2017 05:00:00 ...- Authors: Jeff T Heaton
- Date: Apr 2017
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: CompAct
- Topics: Technology & Applications
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Agent Based Modeling with Repast PY
Agent Based Modeling with Repast PY Agent based modeling is a technique that can be used to predict complex interactions between individuals in an artificial environment. This article provides an ...- Authors: Jeff T Heaton
- Date: Dec 2014
- Publication Name: Predictive Analytics and Futurism Newsletter
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An Introduction to Deep Learning
An Introduction to Deep Learning Deep learning is a method that allows neural networks to be constructed with more than just one or two hidden layers. These layers can then be trained ...- Authors: Jeff T Heaton
- Date: Jul 2014
- Publication Name: Predictive Analytics and Futurism Newsletter
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Bayesian Networks for Predictive Modeling
Bayesian Networks for Predictive Modeling Feature article discussing the use of Bayesian Networks as predictive modeling tools. Bayesian Methods;Modeling efficiency;Predictive Modeling 06/26/2013 ...- Authors: Jeff T Heaton
- Date: Jun 2013
- Competency: External Forces & Industry Knowledge; External Forces & Industry Knowledge>Actuarial methods in business operations
- Topics: Modeling & Statistical Methods>Bayesian methods
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Autoencoders for Anomaly Detection
Autoencoders for Anomaly Detection The author presents autoencoders in a clear manner and then goes on to show an intriguing application where an autoencoder can alert us to events out of the ...- Authors: Jeff T Heaton
- Date: Jan 2020
- Competency: External Forces & Industry Knowledge
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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2023-chatgpt-risk-opp
Explore an overview of ChatGPT and Large Language Models (LLM) and the strengths and weaknesses of ChatGPT. We will discuss ramifications, including accuracy, privacy, copyright, bias, and ...- Authors: Jeff T Heaton, Kyle Nobbe
- Date: Dec 2023
- Competency: Strategic Insight and Integration
- Topics: FinTech & InsurTech