Creating a Data Pipeline to Monitor Local Crime Trends

by Dr. Owns | Feb 3, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

A walkthough of creating an ETL pipeline to extract local crime data and visualize it in Metabase. The post Creating a Data Pipeline to Monitor Local Crime Trends appeared first on Towards Data Science. ​A walkthough of creating an ETL pipeline to extract local crime...

Federated Learning, Part 2: Implementation with the Flower Framework 🌼

by Dr. Owns | Jan 28, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Implementing cross-silo federated learning step by step The post Federated Learning, Part 2: Implementation with the Flower Framework 🌼 appeared first on Towards Data Science. ​Implementing cross-silo federated learning step by step The post Federated Learning, Part...

Machine Learning in Production? What This Really Means

by Dr. Owns | Jan 28, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

From notebooks to real-world systems The post Machine Learning in Production? What This Really Means appeared first on Towards Data Science. ​From notebooks to real-world systems The post Machine Learning in Production? What This Really Means appeared first on Towards...

I Ditched My Mouse: How I Control My Computer With Hand Gestures (In 60 Lines of Python)

by Dr. Owns | Jan 28, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

A step-by-step guide to building a “Minority Report”-style interface using OpenCV and MediaPipe The post I Ditched My Mouse: How I Control My Computer With Hand Gestures (In 60 Lines of Python) appeared first on Towards Data Science. ​A step-by-step guide to building...

Modeling Urban Walking Risk Using Spatial-Temporal Machine Learning

by Dr. Owns | Jan 28, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Estimating neighborhood-level pedestrian risk from real-world incident data The post Modeling Urban Walking Risk Using Spatial-Temporal Machine Learning appeared first on Towards Data Science. ​Estimating neighborhood-level pedestrian risk from real-world incident...

Going Beyond the Context Window: Recursive Language Models in Action

by Dr. Owns | Jan 27, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Explore a practical approach to analysing massive datasets with LLMs The post Going Beyond the Context Window: Recursive Language Models in Action appeared first on Towards Data Science. ​Explore a practical approach to analysing massive datasets with LLMs The post...