TY  - GEN
AU  - Zheng, Alice
AU  - Casari, Amanda (Co-Author)
TI  - Feature engineering for machine learning: principles and techniques for data scientists
SN  - 9789352137114
U1  - 006.31 
PY  - 2018///
CY  - Sebastopol
PB  - O'Reilly Media
KW  - Machine learning
KW  - Data mining
KW  - Engineering
KW  - K-mean model
KW  - Image fearture extraction
N1  - Includes index
N2  - 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
ER  -