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Redefining Risk Management: The Evolving Landscape of Reinsurance in the USA
Redefining Risk Management: The Evolving Landscape of Reinsurance in the USA An article about redefining ... redefining risk management, written entirely by ChatGPT. By Jeff Heaton Reinsurance News, June 2023 There ...- Authors: Jeff T Heaton
- Date: Jun 2023
- Competency: Communication; Professional Values
- Publication Name: Reinsurance News
- Topics: Reinsurance
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The Third Generation of Neural Networks
The Third Generation of Neural Networks Neural networks have fallen only to rise again twice. The latest ... from the past but adds elements to support deep learning. This article demonstrates the state of the art ...- Authors: Jeff T Heaton
- Date: Dec 2015
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Data mining
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Autoencoders for Anomaly Detection
Anomaly Detection The author presents autoencoders in a clear manner and then goes on to show an intriguing ... where an autoencoder can alert us to events out of the ordinary. 1/7/2020 12:00:00 AM ...- 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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Feature Importance in Supervised Training
Feature Importance in Supervised Training A discussion on supervised learning--the class of machine ... Supervised Training A discussion on supervised learning--the class of machine learning where a model is ...- Authors: Jeff T Heaton
- Date: Apr 2018
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Technology & Applications>Analytics and informatics; Technology & Applications>Computer science
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From R Studio to Real-Time Operations
From R Studio to Real-Time Operations An exploration of moving predictive modeling capabilities ... R Studio to Real-Time Operations An exploration of moving predictive modeling capabilities in R to real ...- Authors: Jeff T Heaton, Edmond Deuser
- Date: Dec 2017
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Technology & Applications>Computer science
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Getting Started with Deep Learning and TensorFlow
Getting Started with Deep Learning and TensorFlow A description of how to use Deep Learning ... with Deep Learning and TensorFlow A description of how to use Deep Learning and TensorFlow Futurism;Predictive ...- Authors: Jeff T Heaton
- Date: Dec 2016
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Forecasting
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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 ... then be trained independently and simultaneously of each other. This article provides an introduction ...- 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 Bayesian networks are ... one of many models that are useful for predictive modeling. This article introduces the concept of Bayesian ...- Authors: Jeff T Heaton
- Date: Jul 2013
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Technology & Applications>Analytics and informatics
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Using Python to Solve, Simplify, Differentiate and Integrate
Using Python to Solve, Simplify, Differentiate and Integrate This article introduces ... introduces SymPy, a computer algebra system (CAS) for the Python programming language. Computer science;Predictive ...- Authors: Jeff T Heaton
- Date: Jun 2017
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Technology & Applications>Analytics and informatics
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Regression and Classification, a Deeper Look
2016 Issue 13 The output prediction ŷ (y-hat) is calculated by the summation of multiplying each ... cient/weight (β). Training the linear regression model is simply a matter of finding the coefficient values ...- Authors: Jeff T Heaton
- Date: Jul 2016
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics; Technology & Applications