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From Idea to Insight: Using Bayesian Hierarchical Models to Predict Game Outcomes Part 2

Modeling Statistics bayesian Bayesian Hierarchical Modelsposted by Brandon Dey, ODSC January 30, 2020

What’s the best way to model the probability that one player beats another in a digital game a client of your employer designed? This is the second of a two-part series in which you’re a data scientist at a fictional mobile game development company that makes money by monetizing... Read more

From Idea to Insight: Using Bayesian Hierarchical Models to Predict Game Outcomes Part 1

Modeling Statistics bayesian Hierarchical Bayesian Modelsposted by Brandon Dey, ODSC January 17, 2020

Imagine you’re a data scientist at an online mobile multiplayer competition platform. Your bosses have a vested interest in paying people with our skillset to predict game outcomes for a variety of commercial applications they profit from, for example, setting odds and sharing better insights with game developers on... Read more

Hierarchical Bayesian Models in R

Modeling R Statistics Tools & Languages bayesian hierarchical bayesian Hierarchical Bayesian Models Statisticsposted by Nathaniel Jermain August 19, 2019

Hierarchical approaches to statistical modeling are integral to a data scientist’s skill set because hierarchical data is incredibly common. In this article, we’ll go through the advantages of employing hierarchical Bayesian models and go through an exercise building one in R. If you’re unfamiliar with Bayesian modeling, I recommend... Read more

From Idea to Insight: Using Bayesian Hierarchical Models to Predict Game Outcomes Part 2

From Idea to Insight: Using Bayesian Hierarchical Models to Predict Game Outcomes Part 1

Hierarchical Bayesian Models in R

Level Up: spaCy NLP for the Win

Training and Operationalizing Interpretable Machine Learning Models

Deep Q-Learning Algorithm in Reinforcement Learning