The Resource Feature engineering for machine learning : principles and techniques for data scientists, Alice Zheng and Amanda Casari

Feature engineering for machine learning : principles and techniques for data scientists, Alice Zheng and Amanda Casari

Label
Feature engineering for machine learning : principles and techniques for data scientists
Title
Feature engineering for machine learning
Title remainder
principles and techniques for data scientists
Statement of responsibility
Alice Zheng and Amanda Casari
Creator
Contributor
Author
Subject
Language
eng
Cataloging source
UMI
http://library.link/vocab/creatorName
Zheng, Alice
Illustrations
illustrations
Index
index present
LC call number
Q325.5
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Casari, Amanda
http://library.link/vocab/subjectName
  • Machine learning
  • Data mining
Label
Feature engineering for machine learning : principles and techniques for data scientists, Alice Zheng and Amanda Casari
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781491953235
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
on1089811256
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (1 volume)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Sound
unknown sound
Specific material designation
remote
Stock number
CL0501000033
System control number
(OCoLC)1089811256
Label
Feature engineering for machine learning : principles and techniques for data scientists, Alice Zheng and Amanda Casari
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781491953235
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
on1089811256
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (1 volume)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Sound
unknown sound
Specific material designation
remote
Stock number
CL0501000033
System control number
(OCoLC)1089811256

Library Locations

    • Merrimack Valley Library ConsortiumBorrow it
      4 High Street, Suite 175, North Andover, MA, 01845, US
      42.7009413 -71.1255084
Processing Feedback ...