Feature Engineering For Machine Learning : principles and techniques for data scientists /Alice Zheng, Amanda Casari

By:

Zheng, Alice

Language: English Publication details: 2022 Sebastopol, CA O'Reilly Media, Edition: 1st editionDescription: xiii, 200pages,: ill,; 22 cmISBN:

9789352137114

Subject(s):

Computer Science The machine learning pipeline Fancy tricks with simple numbers Text data : flattening, filtering, and chunking The effects of feature scaling : from bag-of-words to Tf-Idf

DDC classification:

006.31 ZHE

Summary: Feature 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.

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
English Books	Anna Centenary Library 3RD FLOOR, A WING	006.31 ZHE (Browse shelf(Opens below))		Available		692127
English Books	Anna Centenary Library 3RD FLOOR, A WING	006.31 ZHE;1 (Browse shelf(Opens below))	1	Checked out	02.07.2025	692128

Includes index

Feature 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.

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Feature Engineering For Machine Learning : principles and techniques for data scientists /Alice Zheng, Amanda Casari

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