A place to write about data, software, and whatever catches my curiosity — free from the pressure to monetize or to be right. Exploration, for the simple pleasure of it.
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Paint By Numbers - Victory At Last? · latest
After a 10-month hiatus, the paint-by-numbers project reaches its conclusion. Discover how switching to CIELab color space, leveraging morphological transformations, and refining the algorithm produced stunning results with organic shapes and natural colors.
Winning with Multi-Armed Bandits: Smarter Experimentation in Databricks
Learn how Multi-Armed Bandits provide a powerful alternative to static A/B testing by balancing exploration and exploitation, using Bayesian methods to adapt experiments in real time and maximize results.
Simple Anomaly Detection in Databricks Using Mean and Standard Deviation
Learn how Consumidor Positivo built a simple yet effective anomaly detection system in Databricks using mean, standard deviation, and generative AI for rapid data quality monitoring, automated diagnosis, and actionable insights.
An Attempt at Paint-by-Numbers - Part 3
Explore advanced techniques for removing thin regions, detecting boundaries, and labeling regions in images to achieve a classic Paint-by-Numbers effect using Python and OpenCV. This post covers practical algorithms, code examples, and visual results for image simplification and region labeling.
An Attempt at Paint-by-Numbers - Part 2
Explore advanced image processing techniques to transform photos into paint-by-number artworks. This post covers morphological transformations, region analysis, and Python code optimizations to simplify complex images for creative projects.
