Writing / Technical / Machine Learning & Algorithms
Machine Learning & Algorithms
This section will hold essays and working notes on machine learning, modelling, optimisation, experimentation, and the algorithmic foundations behind real-world analytical systems.
For now, these are placeholder articles to help shape the structure of the page and make the writing system fully navigable.
Notes
Lesser-Known but Powerful Machine Learning Algorithms Used in Real Solutions
A practical overview of underrated machine learning algorithms that solve real-world problems in anomaly detection, interpretability, privacy, and time-to-event modeling.
Deep Dive
Outlier Detection for Fraud in Banking: A Deep Dive into Isolation Forest with End-to-End Implementation
A comprehensive, textbook-style explanation of Isolation Forest for fraud detection, covering intuition, mathematics, and a complete Python implementation on the Kaggle credit card dataset.
Notes
Most Popular Machine Learning Algorithms in 2026
A structured overview of the most widely used machine learning algorithms in 2026, covering supervised, unsupervised, and advanced methods with practical use cases.