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Michael Walker's Blog Posts Tagged 'Models' (6)

Untestable & Unreasonable Assumptions in Models is Data Science Malpractice

We all know models are always an illusion of reality - yet may or may not be useful. Data scientists should build both simple and complex models with reasonable and testable assumptions that capture what is…

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Added by Michael Walker on December 5, 2014 at 6:31pm — No Comments

Forecasting with the Baum-Welch Algorithm and Hidden Markov Models

Leonard Baum and Lloyd Welch designed a probabilistic modelling algorithm to detect patterns in Hidden Markov Processes. They built upon the theory of probabilistic functions of a …

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Added by Michael Walker on February 24, 2014 at 10:02pm — 1 Comment

Predicting the Super Bowl

NFL 2013 Team Expected Points Added (EPA) per game - Defense by Offense

The atavistic love of sport, strategy,…

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Added by Michael Walker on January 27, 2014 at 7:00pm — No Comments

Models vs. Experiments

At the Rose Professional Data Science Practice, we see many organizations spending a majority of…
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Added by Michael Walker on November 17, 2013 at 8:30am — No Comments

Tool for Computing Continuous Distributed Representations of Words

Natural language processing (NLP) involves machine learning, artificial intelligence, algorithms and linguistics related to interactions between computers and human languages. One important goal…

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Added by Michael Walker on August 20, 2013 at 7:27pm — No Comments

Data Science Ethics & Big Data Business Models

Ray Wang's HBR piece "What a Big-Data Business Model Looks Like" asserts three basic information…

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Added by Michael Walker on January 10, 2013 at 9:30am — No Comments

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