July 2025
Generate Synthetic Data to Build Robust Machine Learning Models in Data Scares Scenario
Explore statistical approaches to transform experts knowledge into data with practical examples Introduction Machine learning models need to be trained on sufficient, high-quality data that will recur in the future to make accurate predictions. Generating synthetic data is a powerful technique to address various challenges, especially when real-world data is inaccurate or insufficient for model […]
From Notebook to Production: Shipping Machine Learning Projects This Weekend
A step-by-step guide to rapidly deploying a full-stack machine learning application Introduction We’ve built a fantastic machine learning model. It performs beautifully in notebooks, passes all tests, and promises significant business value. But a model isn’t truly valuable until it’s in production, serving real users and solving real problems. In this article, I’ll explore a […]
The Algebra of Meaning
PURPOSE We’re not here to “learn math.”We’re here to build a mental architecture for understanding compression, transformation, and meaning — the invisible scaffolding behind Machine Learning, physics, economics, and reality itself. This is not “school algebra.”This is symbolic survival. THE JOURNEY This series is split into four ascending phases: Phase 1 — Linear Algebra as Symbolic Grammar […]