Eugene Yan • 3/21/2021

Choosing Problems in Data Science and Machine Learning

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This article provides a framework for data science and machine learning leaders to prioritize team projects. It explains how to use cost-benefit analysis to quantify potential returns, discusses evaluating problem severity and impact, and categorizes solutions from incremental to disruptive. It also covers common pitfalls in the problem-selection process.

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#leadership #Datascience #Machinelearning
Choosing Problems in Data Science and Machine Learning

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