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
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006.31 RAM TensorFlow for deep learning : | 006.31 RAM TensorFlow for deep learning : | 006.31 ROG A first course in machine learning / | 006.31 ZHE Feature engineering for machine learning : | 006.312 BAE Analytics in a big data world : | 006.312 CUT Google Analytics / | 006.312 DAT Data science and big data analytics : |
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.--
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