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Author Zheng, Alice, author.
Title Feature engineering for machine learning : principles and techniques for data scientists / Alice Zheng and Amanda Casari.
Publisher Beijing : O'Reilly, 2018.
Edition First edition.
Description xiii, 200 pages : illustrations ; 24 cm
book jacket
LOCATION CALL # STATUS
 CLP Main (Oakland) Second Floor - Non-fiction  Q325.5.Z495 2018x     ON HOLDSHELF
 CLP Main (Oakland) Second Floor - Non-fiction  Q325.5.Z495 2018x     Checked Out

Details

Bibliography Includes bibliographical references and index.
Contents The machine learning pipeline -- Fancy tricks with simple numbers -- Text data : flattening, filtering, and chunking -- The effects of feature scaling : from bag-of-words to Tf-Idf -- Categorical variables : counting eggs in the age of robotic chickens -- Dimensionality reduction : squashing the data pancake with PCA -- Nonlinear featurization via K-means model stacking -- Automating the featurizer : image feature extraction and deep learning -- Back to the feature : building an academic paper recommender -- Linear modeling and linear algebra basics.
Subject Machine learning.
Data mining.
Addt'l Author Casari, Amanda, author.
ISBN 9781491953242 (paperback)
1491953241 (paperback)