Unpolished Ideas & Pioneering Code: Unplugging the Filter, Plugging in the Curiosity.
My blog is a messy desk, littered with code snippets, brain dumps, and the occasional half-baked theory. Here's where I dump the bubbling brew of ideas, code snippets, and the occasional rant about a library's weird quirks. Don't expect polished prose, expect raw curiosity with an occasional intellectual scorch mark.
High Level Analysis of Race Results
Providing insights for spectators of races at scale
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Predicting Attributes/Demographics
Using probability to estimate demographics while managing uncertainty
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An Introduction to Optimization: Combinatorial Optimization
Getting Started with solving combinatorial optimization problems
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Web Analytics for Race Result Websites
Identifying and recording data points about visitors on race result websites for track & field and road races to identify behaviors, needs, and desireable features of users
An Introduction to Optimization: Linear Programming
Optimizing continuous variables based on constraints using Google's Operations Research library for Python, ORTools.
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5 simple applications of Machine Learning for running
Writing machine learning models in Python's scikit-learn for gathering insights into sports
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Structuring Donor databases as networks
Determining the dynamics of your donor network
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Trajectory Analysis
How to extract information from detail trajectory data, and compare trajectories.
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Pack Membership and Roles in Race Competitions
Using pack membership, roles, behavior, and changes to make explain race outcomes in running, cycling, speed skating, cross country skiing, etc
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Network Science - Node Strength, Centrality and Communicability
An introduction to Hirsch index-based metrics for measuring node importance in weighted graphs based on degrees and node strengths, and a centrality for measuring communication ability of a node in a network.
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Compositional Data Analysis
Ratios and logratios are the standard metrics for working with compositional data and are the only metrics that allow for statistical analysis of compositions.
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Data-driven Track & Field/Cross Country
Metrics for more mathematical approach to evaluating and quantifying track & field performances, the competition, and areas for improvement.
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Data Simplification & Summarization
Simplifying polylines and trajectories using the Ramer-Douglas-Puecker algorithm, and summarizing graphs/networks to speed up computations using grouping-based and compression-based algorithms.
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