Feature engineering for machine learning: principles and techniques for data scientists

By:

Zheng, Alice

Contributor(s):

Casari, Amanda (Co-Author)

Publication details: O'Reilly Media, 2018. Sebastopol:Description: xiii, 200p.; pbk; 23cmISBN:

9789352137114

Subject(s):

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. 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. https://www.oreilly.com/library/view/feature-engineering-for/9781491953235/

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	IIT Gandhinagar	General	006.31 ZHE (Browse shelf(Opens below))	1	Available		031575

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Previous	006.31 WAT Machine learning refined: foundations, algorithms, and applications	006.31 WAT Algebraic geometry and statistical learning theory	006.31 YEJ Geometry of deep learning: a signal processing perspective	006.31 ZHE Feature engineering for machine learning: principles and techniques for data scientists	006.31015 MOI Algorithmic aspects of machine learning	006.310151 KNE Math for deep learning: what you need to know to understand neural networks	006.310151 NIE Essential math for data science: take control of your data with fundamental linear algebra, probability, and statistics	Next

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. 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.

https://www.oreilly.com/library/view/feature-engineering-for/9781491953235/

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