The Resource Machine learning in R : automated algorithms for business analysis : applying K-Means clustering, decision trees, random forests, and neural networks, with Michael Grogan

Machine learning in R : automated algorithms for business analysis : applying K-Means clustering, decision trees, random forests, and neural networks, with Michael Grogan

Label
Machine learning in R : automated algorithms for business analysis : applying K-Means clustering, decision trees, random forests, and neural networks
Title
Machine learning in R
Title remainder
automated algorithms for business analysis : applying K-Means clustering, decision trees, random forests, and neural networks
Statement of responsibility
with Michael Grogan
Creator
Speaker
Subject
Language
eng
Summary
"In the world of big data, analysis by traditional statistical methods is no longer sufficient. The amount of data and the number of potential relationships that could be analyzed is simply too complex to conduct manually. In this video, you'll learn a better way: how to automate the analysis of big data by using machine learning techniques in R. You'll explore the cornerstone methods of machine learning (i.e., k-means clustering, decision trees, random forests, and neural networks); you'll incorporate these methods inside R to construct a set of machine learning algorithms; and then you'll deploy these algorithms against a real-world dataset to perform a high-value business analysis of the data. Course prerequisites include basic knowledge of linear algebra, probability, statistics, and familiarity with R."--Resource description page
Cataloging source
UMI
Characteristic
videorecording
http://library.link/vocab/creatorName
Grogan, Michael
LC call number
QA276.45.R3
PerformerNote
Presenter, Michael Grogan
Runtime
39
http://library.link/vocab/subjectName
  • R (Computer program language)
  • Statistics
  • Machine learning
  • Neural networks (Computer science)
  • Big data
Technique
live action
Label
Machine learning in R : automated algorithms for business analysis : applying K-Means clustering, decision trees, random forests, and neural networks, with Michael Grogan
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781492028536
Instantiates
Publication
Note
  • Title from title screen (viewed February 13, 2018)
  • Date of publication from resource description page
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Configuration of playback channels
unknown
Content category
two-dimensional moving image
Content type code
  • tdi
Content type MARC source
rdacontent
Control code
on1023436345
Dimensions
unknown
Extent
1online resource (1 volume)
Form of item
online
Media category
  • computer
  • video
Media MARC source
  • rdamedia
  • rdamedia
Media type code
  • c
  • v
Medium for sound
other
Other physical details
illustrations.
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
Stock number
CL0500000939
System control number
(OCoLC)1023436345
Video recording format
other
Label
Machine learning in R : automated algorithms for business analysis : applying K-Means clustering, decision trees, random forests, and neural networks, with Michael Grogan
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781492028536
Publication
Note
  • Title from title screen (viewed February 13, 2018)
  • Date of publication from resource description page
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Configuration of playback channels
unknown
Content category
two-dimensional moving image
Content type code
  • tdi
Content type MARC source
rdacontent
Control code
on1023436345
Dimensions
unknown
Extent
1online resource (1 volume)
Form of item
online
Media category
  • computer
  • video
Media MARC source
  • rdamedia
  • rdamedia
Media type code
  • c
  • v
Medium for sound
other
Other physical details
illustrations.
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
Stock number
CL0500000939
System control number
(OCoLC)1023436345
Video recording format
other

Library Locations

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      42.7009413 -71.1255084
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