ML Model Monitoring Metrics

Detecting silent model failures early and consistently

Distribution Drift Tolerance

Identifying your personal preference for measuring population drift

PyMC Wrapper

Making PyMC models more accessible and reusable

MMM: Miracle of Marketing Measurement or Misleading Modeling Methodology?

MMMs are a future-proofed tool for measuring marketing effectiveness in a world of increased online privacy, but can be prone to multiple silent failure methods that provide inaccurate results.

Spaghetti Code

Making generative noodle art

Codenames Clue Generator using Semantic Similarity

Utilizing Tensorflow pre-trained embeddings to recommend potential clues to the codemasters in the card game Codenames

Multi-Armed Bandits Exploration

Benchmark Comparisons and UCB Visualization

Basic Geometric Tiling

Inspiration from Italian Mosaics

Introduction to Idyll

Visualizing Pumpkin Pie Taste Test Results

Probability Calibration

Predictions As Actual Probabilities