The Resource MATLAB Machine Learning Recipes : A Problem-Solution Approach, by Michael Paluszek, Stephanie Thomas, (electronic resource)

MATLAB Machine Learning Recipes : A Problem-Solution Approach, by Michael Paluszek, Stephanie Thomas, (electronic resource)

Label
MATLAB Machine Learning Recipes : A Problem-Solution Approach
Title
MATLAB Machine Learning Recipes
Title remainder
A Problem-Solution Approach
Statement of responsibility
by Michael Paluszek, Stephanie Thomas
Creator
Contributor
Author
Author
Provider
Subject
Language
eng
Summary
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more. You will: Learn to write code for machine learning, adaptive control and estimation using MATLAB See how these three areas complement each other Understand why these three areas are needed for robust machine learning applications Use MATLAB graphics and visualization tools for machine learning Code real world examples in MATLAB for major applications of machine learning in big data
http://library.link/vocab/creatorName
Paluszek, Michael
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • FKRKZO6R8tA
  • Xx9m0VTOz4I
Image bit depth
0
LC call number
Q334-342
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Thomas, Stephanie.
  • SpringerLink
http://library.link/vocab/subjectName
  • Artificial intelligence
  • Big data
  • Artificial Intelligence
  • Big Data
Label
MATLAB Machine Learning Recipes : A Problem-Solution Approach, by Michael Paluszek, Stephanie Thomas, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1 Overview -- 2 Data Representation -- 3 MATLAB Graphics -- 4 Kalman Filters -- 5 Adaptive Control -- 6 Fuzzy Logic -- 7 Data Classification with Decision Trees -- 8 Simple Neural Nets -- 9 Classification with Neural Nets -- 10 Neural Nets with Deep Learning -- 11 Neural Aircraft Control -- 12 Multiple Hypothesis Testing -- 13 Autonomous Driving with MHT -- 14 Case-Based Expert Systems -- Appendix A: A Brief History of Autonomous Learning -- Appendix B: Software for Machine Learning
Dimensions
unknown
Edition
2nd ed.
Extent
XIX, 347 p. 157 illus., 116 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9781484239162
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4842-3916-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-1-4842-3916-2
Label
MATLAB Machine Learning Recipes : A Problem-Solution Approach, by Michael Paluszek, Stephanie Thomas, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1 Overview -- 2 Data Representation -- 3 MATLAB Graphics -- 4 Kalman Filters -- 5 Adaptive Control -- 6 Fuzzy Logic -- 7 Data Classification with Decision Trees -- 8 Simple Neural Nets -- 9 Classification with Neural Nets -- 10 Neural Nets with Deep Learning -- 11 Neural Aircraft Control -- 12 Multiple Hypothesis Testing -- 13 Autonomous Driving with MHT -- 14 Case-Based Expert Systems -- Appendix A: A Brief History of Autonomous Learning -- Appendix B: Software for Machine Learning
Dimensions
unknown
Edition
2nd ed.
Extent
XIX, 347 p. 157 illus., 116 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9781484239162
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4842-3916-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-1-4842-3916-2

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