Will Kurt • 12/15/2020

Inference and Prediction Part 1: Machine Learning

This article, the first in a three-part series, examines the distinction between prediction (often associated with Machine Learning) and inference (the domain of Statistics) in data modeling. It uses a practical Click Through Rate (CTR) modeling problem for job postings as a worked example, building a perceptron model with Python and JAX to illustrate the machine learning perspective on prediction, with a promise to extend it to inference in subsequent parts.

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#Machine Learning #statistics #Data Modeling