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Bayesian Inference in Machine Learning
in Machine Learning By Denis Perevalov As the amount of data keeps growing, machine learning is drawing ... recommendations. Maximum likelihood estimations (MLEs) are the most widely used machine learning methods, which ...- Authors: Denis Perevolov
- Date: Jun 2017
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Actuarial Statistics with R: Book Review
Actuarial Statistics with R: Book Review Reviewing a text covering multiple statistical modeling ... linear models, decision trees, clustering, using the statistical language R. Predictive Analytics;Capital ...- Authors: Mary Campbell
- Date: Dec 2018
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Regression analysis; Modeling & Statistical Methods>Simulation; Predictive Analytics
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Beyond Multiple Regression
Beyond Multiple Regression Overview of regularization and least angle regression approaches. Regression ...- Authors: Michael Niemerg
- Date: Jul 2016
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Johns Hopkins Data Science Specialization courses: A review
Johns Hopkins Data Science Specialization courses: A review A review of the Johns Hopkins ... Science Specialization courses: A review A review of the Johns Hopkins Data Science Specialization courses ...- Authors: Sheamus Parkes
- Date: Dec 2015
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Regression analysis; Predictive Analytics; Technology & Applications>Computer science
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How Significant Is Statistical Significance?
Significant Is Statistical Significance? The author discusses the p-value that is often used to determine ... and lose the ability to notice when something is mathematically sound but not sensible. The article provides ...- Authors: Rosmery Cruz
- Date: Aug 2019
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Ethics and Professionalism in Data Science
Ethics and Professionalism in Data Science This article discusses ethical issues that have ... with advancements in Data Science. Through examples of these issues address actuarial professionalism.- Authors: Ricardo Trachtman
- Date: Dec 2018
- Competency: Professional Values>Ethical standards
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Chairperson’s Corner: Change is Constant
Chairperson’s Corner: Change is Constant Reflection on three years on the PAF section council and ... Change is Constant Reflection on three years on the PAF section council and where we're headed next.- Authors: Eileen Sheila Burns
- Date: Jan 2020
- Competency: External Forces & Industry Knowledge
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Predictive Modeling Techniques—A Case Study
Predictive Modeling Techniques—A Case Study A discussion on using the Cox Proportional ... Modeling Techniques—A Case Study A discussion on using the Cox Proportional Hazards Model in developing a predictive ...- Authors: Vincent Granieri
- Date: Jun 2017
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Understanding Autoregressive Model for Time Series
Understanding Autoregressive Model for Time Series In this article, we are going to discuss the ... Series In this article, we are going to discuss the AR model by making connections to time-dependent ...- Authors: Dihui Lai, Bingfeng Lu
- Date: Jun 2017
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Predictive Analytics
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Why Actuaries Should Welcome Automation
business—Uber and Lyft shaking up the taxi industry, robots replacing workers on the auto produc- tion line, self-checkout ... being phased out. It’s a lot to take in, and the thought of technology replacing people can be unsettling ...- Authors: Nathan Dennis Pohle, Darryl Wagner
- Date: Aug 2018
- Competency: Leadership>Change management; Strategic Insight and Integration>Big picture view; Strategic Insight and Integration>Strategy development; Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Actuarial Profession>Alternative careers; Actuarial Profession>Competencies; Actuarial Profession>Professional development; Actuarial Profession>Traditional careers; Predictive Analytics