Name: Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
SKU: 50143894
Price: 1980.00 TWD
Availability: InStock
Author: Alice Zheng
ISBN: 9781491953242

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

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

Type

Physical Book

Publisher

O'reilly & Assoc Inc

Author

Alice Zheng

Year

2018

Language

English

Pages

218

Format

Paperback

ISBN13

9781491953242

Edition No.

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

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 transformsNatural text techniques: bag-of-words, n-grams, and phrase detectionFrequency-based filtering and feature scaling for eliminating uninformative featuresEncoding techniques of categorical variables, including feature hashing and bin-countingModel-based feature engineering with principal component analysisThe concept of model stacking, using k-means as a featurization techniqueImage feature extraction with manual and deep-learning techniques

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Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists - Alice Zheng

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

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