Zheng Alice: Feature Engineering for Machine Learning

Principles and Techniques for Data Scientists
CHF 89.00
Einband: Kartonierter Einband (Kt)
Verfügbarkeit: Lieferbar in 24 Stunden
+ -

"Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, youll 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 feature engineering."--Page 4 of cover.

ISBN: 978-1-4919-5324-2
GTIN: 9781491953242

Über den Autor Zheng Alice

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.

Weitere Titel von Zheng Alice