Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists Estelle Ryan His works include the Pulitzer

His works include the Pulitzer Prize-winning Angle of Repose and The Spectator Bird

She received her MFA from Eastern Washington University

addressing all the risks (including the risk that you fail to achieve your goals)

Published: 02/13/2003

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists Estelle Ryan His works include the PulitzerFeature engineering is a crucial step in the machine learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features the numeric representations of raw data into formats for machine learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of