Image from Amazon.com
Image from Google Jackets
Feature engineering for machine learning : principles and techniques for data scientists / Alice Zheng and Amanda Casari.
Material type:
TextPublication details: Mumbai : Shroff Publishers & Distributors, 2018.Description: xiii, 200 p. : ill. ; 24 cmISBN: - 9789352137114
- 006.31 23 ZHE
- Q325.5 .Z44 2018
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Books
|
Learning Resource Centre | 006.31 ZHE (Browse shelf(Opens below)) | Available | 13885 |
Total holds: 0
Includes bibliographical references and 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, youll learn techniques for extracting and transforming featuresthe numeric representations of raw datainto 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.--
There are no comments on this title.