Record Details

Title:
Feature engineering for machine learning : principles and techniques for data scientists / Alice Zheng and Amanda Casari.
Author(s):
Zheng, Alice, author.
Casari, Amanda, author.
Edition:
First edition.
Imprint:
Sebastopol, CA : O'Reilly Media, Inc., 2018.
♭2018
Description:
xiii, 200 pages : illustrations ; 24 cm
ISBN:
9781491953242
1491953241
Subject(s):
Bibliography, etc. note:
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.
Record appears in:


Holdings
Options Library Call no Location Description Item type Status Due date
Sherman Fairchild Library Q325.5 .Z44 2018 SFL basement books c.1 Book on shelf -


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 Record created 2018-05-30, last modified 2018-05-30


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