Feature Engineering for Machine Learning by Alice Zheng - 9781491953242
Feature Engineering for Machine LearningPrinciples and Techniques for Data Scientists
Author(s): Alice Zheng
Format: Paperback
Publisher: O'Reilly Media, United States
Imprint: O'Reilly Media
ISBN-13: 9781491953242, 978-1491953242
Synopsis
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.
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 technis
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Details:Feature Engineering for Machine Learning by Alice Zheng - 9781491953242
Feature Engineering for Machine LearningPrinciples and Techniques for Data Scientists
Author(s): Alice Zheng
Format: Paperback
Publisher: O'Reilly Media, United States
Imprint: O'Reilly Media
ISBN-13: 9781491953242, 978-1491953242
Synopsis
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.
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 technis
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Product Description
Feature Engineering for Machine LearningPrinciples and Techniques for Data Scientists
Author(s): Alice Zheng
Format: Paperback
Publisher: O'Reilly Media, United States
Imprint: O'Reilly Media
ISBN-13: 9781491953242, 978-1491953242
Synopsis
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.
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 technis
Product Specifications
General | |
|---|---|
format | trade paperback |
Language | english |
type | textbook |
Brand | O'Reilly Media |
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