Feature Engineering for Machine Learning: Principles and...

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Computers - Databases
Feature Engineering for Machine...

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Name: Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
ISBN: 9781491953242

Alice Zheng, Amanda Casari

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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.
Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples.

Категорії:

Computers - Databases

Рік:

2018

Видання:

Видавництво:

O’Reilly Media

Мова:

english

Сторінки:

218

ISBN 10: