Blog

Master the essential techniques for evaluating machine learning models - from confusion matrices to ROC curves and beyond.

Transform underperforming models into production-ready systems through systematic hyperparameter optimization and automated tuning strategies.

Transform model probabilities into business decisions through optimal threshold selection, cost-sensitive learning, and operating point optimization.

Master time series forecasting with exponential smoothing, trend analysis, and seasonality detection for accurate business predictions.

Master the essential techniques for splitting data and validating models - from simple holdouts to stratified k-fold cross-validation.

Understand the difference between classification and regression and how to pick metrics and models.

How to choose metrics, validate models, and run error analysis to improve ML performance.

Hands-on: train a small decision tree, understand splits, and measure performance.

A practical guide that walks through the steps to train ML models reliably and repeatably.

Map ML pipeline steps to common business use cases and priorities for impact.

A practical guide to supervised learning, including common algorithms and how to avoid mistakes.

An accessible, practical introduction to machine learning for analysts and engineers.

Apply queuing theory to eliminate team bottlenecks and achieve linear scaling with engineer count.

Create APIs so intuitive that developers succeed on the first try without reading documentation.

Write-first engineering to reduce rework.

Minimize blast radius by design.

Index of mindset posts for expert engineers.

Design error systems that guide users to success instead of just documenting failure.

Shape-preserving transformations across time.

Treat complexity like a financial budget to prevent the technical debt spiral that kills velocity.

Use memory psychology to design caches that are fast, correct, and won't wake you up at 3 AM.

Master the art of uncertainty to debug impossible problems faster than senior engineers.

Apply cognitive science to ship faster code reviews, fewer bugs, and APIs that developers actually want to use.

Use prod safely as your fastest feedback loop.

Transform chaotic event streams into compelling detective stories that solve production mysteries in minutes, not hours.

Master time-aware architecture to eliminate 80% of production incidents and ship features without fear.

Optimize your text pipeline to think faster, code better, and ship more—the hidden bottleneck every developer ignores.