Harrison Hoffman

AI

Early Stopping: Why Did Your Machine Learning Model Stop Training?

Why most models are small and LLMs are large Harrison Hoffman · Follow Published in Towards Data Science · 15 min read · 1 hour ago — PLAIOFFS24. Image by Author. When training supervised machine learning models, early stopping is a commonly used technique to mitigate overfitting. Early stopping involves monitoring a model’s performance on a validation set during training and stopping the training process once the model’s performance…

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AI

Causal Machine Learning: What Can We Accomplish with a Single Theorem?

Exploring and exploiting the seemingly innocent theorem behind Double Machine Learning Harrison Hoffman · Follow Published in Towards Data Science · 27 min read · 11 hours ago — North Carolina. Image by Author. Causal inference, and specifically causal machine learning, is an indispensable tool that can help us make decisions by understanding cause and effect. Optimizing prices, reducing customer churn…

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