Feature Engineering for Machine Learning - Zheng, Alice
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Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, youâ ll learn techniques for extracting and transforming featuresâ the numeric representations of raw dataâ into formats for machine-learning models.

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Produktbeschreibung
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, youâ ll learn techniques for extracting and transforming featuresâ the numeric representations of raw dataâ into formats for machine-learning models.
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Autorenporträt
Alice is a technical leader in the field of Machine Learning. Her experience spans algorithm and platform development and applications. Currently, she is a Senior Manager in Amazon's Ad Platform. Previous roles include Director of Data Science at GraphLab/Dato/Turi, machine learning researcher at Microsoft Research, Redmond, and postdoctoral fellow at Carnegie Mellon University. She received a Ph.D. in Electrical Engineering and Computer science, and B.A. degrees in Computer Science in Mathematics, all from U.C. Berkeley.