Practical explanations and working ideas from the intersection of business, products, technology, and research. I write to make difficult subjects clearer and more useful.
Machine Learning
An Introduction to MLOps: A Complete Tutorial with a Hands-On Example Jun 2026 Tree-Based Models Explained: From Decision Trees to Random Forest and XGBoost May 2026 Softmax Regression Explained from Logistic Regression Apr 2026 Gradient Descent Algorithm Explained Nov 2025
Web3
Reinforcement Learning
Three Questions for Reinforcement Learning in Healthcare Oct 2025 Action-value methods with incremental step size in reinforcement learning Oct 2025
Stochastic Modelling
Signal Processing
Regression (read as a series)
1 Simple Linear Regression Jan 2026 2 Multiple Linear Regression Jan 2026 3 Polynomial Regression Jan 2026 4 Correlation Jan 2026 5 R-squared: SST, SSE, SSR and the Relationship with Correlation Jan 2026 6 Standard Error in Regression Feb 2026 7 Confidence Intervals for Regression Coefficients Feb 2026 8 Statistical Testing in Regression Feb 2026