Zheng, Alice
Feature Engineering forMachine Learning: Principlesand Techniques for DataScientists
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- ISBN 13:
- 9781491953242
- author:
- Zheng, Alice
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2018
- Pages:
- 630
- Dimensions:
- 23.2 x 18 x 1.2 centimetres (0.6
- Genre:
- Computers, Computer Science, Data Modeling,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Mastering feature engineering is crucial for building effective machine learning models. This practical guide provides techniques for extracting and transforming features from raw data into formats suitable for machine learning algorithms.
The authors, Alice Zheng and Amanda Casari, focus on the practical application of feature engineering principles through exercises throughout the book. You'll learn how to represent different types of data, including text and image data, using various techniques such as filtering, binning, scaling, log transforms, and power transforms.
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