Harrison HoffmaninTowards Data ScienceEarly Stopping: Why Did Your Machine Learning Model Stop Training?Why most models are small and LLMs are large·15 min read·5 days ago--1--1
Harrison HoffmaninTowards Data ScienceCausal Machine Learning: What Can We Accomplish with a Single Theorem?Exploring and exploiting the seemingly innocent theorem behind Double Machine Learning·27 min read·Mar 30, 2024--2--2
Harrison HoffmaninTowards Data ScienceCategorical Features: What’s Wrong With Label Encoding?Why we can’t arbitrarily encode categorical features·10 min read·Nov 20, 2023--8--8
Harrison HoffmaninTowards Data ScienceBuilding PCA from the Ground UpSupercharge your understanding of Principal Component Analysis with a step-by-step derivation·12 min read·Aug 7, 2023--2--2
Harrison HoffmaninTowards Data ScienceAliasing: Your Time Series is Lying to YouAn intuitive introduction to signal aliasing with Python·12 min read·Jul 12, 2023--1--1
Harrison HoffmaninTowards Data ScienceA Performant Way to Query Streaming DataImproving a real-time streaming project with ksqlDB·13 min read·May 22, 2023--1--1
Harrison HoffmaninTowards Data ScienceLearning Math Through Code: DerivativesGain a deeper understanding of derivatives with Python·5 min read·Mar 20, 2023----
Harrison HoffmaninTowards Data ScienceAnother (Conformal) Way to Predict Probability DistributionsConformal multi-quantile regression with Catboost·11 min read·Mar 8, 2023--5--5
Harrison HoffmaninTowards Data ScienceA New Way to Predict Probability DistributionsExploring multi-quantile regression with Catboost·10 min read·Feb 14, 2023--7--7
Harrison HoffmaninTowards Data ScienceLineman StationarityA data-driven metric for offensive linemen·6 min read·Feb 6, 2023----