Feature Engineering for Machine Learning - PDF free download eBook

  • Verified: Wed, Jul 17, 2019
  • Published: 25.01.2019
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Introduction

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...

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Details of Feature Engineering for Machine Learning

Original Title
Feature Engineering for Machine Learning
ISBN13
9781491953242
Edition Format
Paperback
Number of Pages
218 pages
Book Language
English
Ebook Format
PDF, EPUB

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Some brief overview of this book

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 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.


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