The Resource Clustering & classification with machine learning in R : harness the power of machine learning for unsupervised & supervised learning in R

Clustering & classification with machine learning in R : harness the power of machine learning for unsupervised & supervised learning in R

Label
Clustering & classification with machine learning in R : harness the power of machine learning for unsupervised & supervised learning in R
Title
Clustering & classification with machine learning in R
Title remainder
harness the power of machine learning for unsupervised & supervised learning in R
Title variation
Clustering and classification with machine learning in R
Creator
Speaker
Subject
Language
eng
Summary
"This course is your complete guide to both supervised and unsupervised learning using R. This course covers all the main aspects of practical data science; if you take this course, there is no need to take other courses or buy books on R-based data science. In this age of big data, companies across the Globe use R to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised and supervised learning in R, you can give your company a competitive edge and take your career to the next level. Over the course of research, the author realized that almost all the R data science courses and books out there do take account of the multidimensional nature of the topic. This course will give you a robust grounding in the main aspects of machine learning: clustering and classification. Unlike other R instructors, the author digs deep into R's machine learning features and give you a one-of-a-kind grounding in data science! You will go all the way from carrying out data reading & cleaning to machine learning, to finally implementing powerful machine learning algorithms and evaluating their performance via R."--Resource description page
Cataloging source
UMI
Characteristic
videorecording
http://library.link/vocab/creatorName
Singh, Minerva
LC call number
Q325.5
PerformerNote
Presenter, Minerva Singh
Runtime
469
http://library.link/vocab/subjectName
  • Machine learning
  • R (Computer program language)
Technique
live action
Label
Clustering & classification with machine learning in R : harness the power of machine learning for unsupervised & supervised learning in R
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781838984571
Instantiates
Publication
Note
  • Title from title screen (viewed April 15, 2020)
  • Presenter's name and 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
on1150901839
Dimensions
unknown
Extent
1 online resource (1 streaming video file (7 hr., 48 min., 11 sec.))
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
digital, sound, color
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
Stock number
CL0501000107
System control number
(OCoLC)1150901839
Video recording format
other
Label
Clustering & classification with machine learning in R : harness the power of machine learning for unsupervised & supervised learning in R
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781838984571
Publication
Note
  • Title from title screen (viewed April 15, 2020)
  • Presenter's name and 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
on1150901839
Dimensions
unknown
Extent
1 online resource (1 streaming video file (7 hr., 48 min., 11 sec.))
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
digital, sound, color
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
Stock number
CL0501000107
System control number
(OCoLC)1150901839
Video recording format
other

Library Locations

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