Feature Engineering for Machine Learning

Principles and Techniques for Data Scientists

Nonfiction, Computers, Database Management, Data Processing
Cover of the book Feature Engineering for Machine Learning by Alice Zheng, Amanda Casari, O'Reilly Media
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Alice Zheng, Amanda Casari ISBN: 9781491953198
Publisher: O'Reilly Media Publication: March 23, 2018
Imprint: O'Reilly Media Language: English
Author: Alice Zheng, Amanda Casari
ISBN: 9781491953198
Publisher: O'Reilly Media
Publication: March 23, 2018
Imprint: O'Reilly Media
Language: English

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.

You’ll examine:

  • Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms
  • Natural text techniques: bag-of-words, n-grams, and phrase detection
  • Frequency-based filtering and feature scaling for eliminating uninformative features
  • Encoding techniques of categorical variables, including feature hashing and bin-counting
  • Model-based feature engineering with principal component analysis
  • The concept of model stacking, using k-means as a featurization technique
  • Image feature extraction with manual and deep-learning techniques
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

You’ll examine:

More books from O'Reilly Media

Cover of the book Writing Game Center Apps in iOS by Alice Zheng, Amanda Casari
Cover of the book Open Government by Alice Zheng, Amanda Casari
Cover of the book qmail by Alice Zheng, Amanda Casari
Cover of the book Apache Oozie by Alice Zheng, Amanda Casari
Cover of the book JavaScript and HTML5 Now by Alice Zheng, Amanda Casari
Cover of the book Juniper Networks Warrior by Alice Zheng, Amanda Casari
Cover of the book Programming Entity Framework: Code First by Alice Zheng, Amanda Casari
Cover of the book Basic Sensors in iOS by Alice Zheng, Amanda Casari
Cover of the book Learning Perl 6 by Alice Zheng, Amanda Casari
Cover of the book Feedback Control for Computer Systems by Alice Zheng, Amanda Casari
Cover of the book Web Scraping with Python by Alice Zheng, Amanda Casari
Cover of the book Programming Chrome Apps by Alice Zheng, Amanda Casari
Cover of the book Java Web Services: Up and Running by Alice Zheng, Amanda Casari
Cover of the book HTML5 & CSS3 (Prags) by Alice Zheng, Amanda Casari
Cover of the book ScreenOS Cookbook by Alice Zheng, Amanda Casari
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy