Machine Learning
Hyperparameter Tuning Strategies That Don't Waste Compute
Grid search doesn't scale and random search leaves gains on the table — a practical comparison of tuning strategies and when each one earns its cost.
3 min read
Tag
Python
9 articles
Machine Learning
ONNX and the Case for Model Portability
Why exporting models to ONNX solves real deployment problems, plus the conversion pitfalls that catch teams off guard the first time they try it.
3 min read
Machine Learning
Model Serving Architectures: Batch, Online, and Edge
A comparison of the three main ways to serve ML predictions in production, and how to pick the right one based on latency and data freshness needs.
3 min read
Machine Learning
Recommendation Systems: Collaborative vs. Content-Based Filtering
The two foundational approaches to recommendations, their failure modes, and why most production systems end up combining both rather than picking one.
3 min read
Machine Learning
Class Imbalance: Sampling, Weights, and the Right Metrics
Practical techniques for imbalanced classification, and why accuracy is the wrong number to optimize when the positive class is 2% of your data.
3 min read
Machine Learning
Data Leakage: The Silent Model Killer
Data leakage produces models that look excellent in validation and fail in production. Here's how it sneaks in and the checks that catch it early.
3 min read
Machine Learning
Feature Engineering Patterns That Actually Generalize
A field guide to feature engineering techniques that hold up outside the notebook, from ratios and windowed aggregates to target encoding done safely.
3 min read
Machine Learning
Why XGBoost and LightGBM Still Win on Tabular Data
Deep learning dominates images and text, but gradient boosted trees remain the default choice for tabular data — here's the technical reason why.
3 min read
Machine Learning
MLOps Pipelines: From Notebook to Production
How to turn a working Jupyter notebook into a reproducible, monitored production pipeline without rewriting everything from scratch.
3 min read