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Notes from the field

Practical writing on machine learning, LLMs, and forecasting — from real projects, not theory.

Aug 6, 2026 · 12 min read

So, Which Machine Learning Algorithm Should You Use?

A practical guide to choosing a machine learning algorithm: understand decision boundaries, group algorithms into families, let exploratory data analysis shortlist them, and match feature engineering to the model you pick.

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Jun 10, 2026 · 3 min read

Classical or Deep Learning? How I Choose Time-Series Forecasting Models

A practical decision framework for picking between ARIMA, Prophet, gradient boosting, and Temporal Fusion Transformers — based on what actually wins backtests, not hype.

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Earlier articles live on Medium.