Description: Further DetailsTitle: Feature Engineering for Machine LearningCondition: NewEAN: 9781491953242ISBN: 9781491953242Publisher: O'Reilly MediaFormat: PaperbackRelease Date: 04/10/2018Item Height: 232mmItem Length: 180mmItem Width: 12mmItem Weight: 400gAuthor: Alice ZhengLanguage: EnglishSubtitle: Principles and Techniques for Data ScientistsDescription: 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 techniquesCountry/Region of Manufacture: USGenre: Computing & InternetRelease Year: 2018 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Feature Engineering for Machine Learning
Title: Feature Engineering for Machine Learning
EAN: 9781491953242
ISBN: 9781491953242
Release Date: 04/10/2018
Release Year: 2018
Subtitle: Principles and Techniques for Data Scientists
Country/Region of Manufacture: US
Genre: Computing & Internet
Number of Pages: 215 Pages
Publication Name: Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists
Language: English
Publisher: O'reilly Media, Incorporated
Subject: Data Modeling & Design, Data Processing, Databases / General
Item Height: 0.5 in
Publication Year: 2018
Item Weight: 13.8 Oz
Type: Textbook
Item Length: 9.4 in
Subject Area: Computers
Author: Alice Zheng, Amanda Casari
Item Width: 7.1 in
Format: Trade Paperback
