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Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox to help you take a deep dive into methods like A/B testing. With sophisticated experimentation practices developed in the world's most competitive industries, the book will help you enhance machine learning systems, software applications, and quantitative trading solutions.

Produktbeschreibung
Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox to help you take a deep dive into methods like A/B testing. With sophisticated experimentation practices developed in the world's most competitive industries, the book will help you enhance machine learning systems, software applications, and quantitative trading solutions.
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Autorenporträt
David Sweet has worked as a quantitative trader at GETCO and a machine learning engineer at Instagram. He teaches in the AI and Data Science Master's programmes at Yeshiva University.