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Machine and Deep Learning Using MATLAB (Record no. 67060)

MARC details
000 -LEADER
fixed length control field	03753nam a22003854u 4500
001 - CONTROL NUMBER
control field	10.1002/9781394209118
003 - CONTROL NUMBER IDENTIFIER
control field	Wiley
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20251030120310.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field	cr nn 008mam\|a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	231020t2023\|\|\|\|xxu fs\| \|0\|\| 0\|eng\|\|
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9781394209118
Qualifying information	electronic
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code	10.1002/9781394209118
Source of number or code	doi
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title	eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name	Al‐Malah, Kamal
Relator code	aut
9 (RLIN)	91724
245 10 - TITLE STATEMENT
Title	Machine and Deep Learning Using MATLAB
Remainder of title	Algorithms and Tools for Scientists and Engineers
Medium	[electronic resource]
Statement of responsibility, etc.	Kamal Al‐Malah
250 ## - EDITION STATEMENT
Edition statement	1
260 ## - Date publicare
Name of publisher, distributor, etc.	Wiley
Date of publication, distribution, etc.	2023
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer	Wiley
Date of production, publication, distribution, manufacture, or copyright notice	2023
300 ## - PHYSICAL DESCRIPTION
Extent	592pp.;
336 ## - CONTENT TYPE
Content type term	text
Content type code	txt
Source	rdacontent
337 ## - MEDIA TYPE
Media type term	computer
Media type code	c
Source	rdamedia
338 ## - CARRIER TYPE
Carrier type term	online resource
Carrier type code	cr
Source	rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type	text file
Source	rdaft
347 ## - DIGITAL FILE CHARACTERISTICS
Encoding format	PDF
520 ## - SUMMARY, ETC.
Summary, etc.	MACHINE AND DEEP LEARNING In-depth resource covering machine and deep learning methods using MATLAB tools and algorithms, providing insights and algorithmic decision-making processes Machine and Deep Learning Using MATLAB introduces early career professionals to the power of MATLAB to explore machine and deep learning applications by explaining the relevant MATLAB tool or app and how it is used for a given method or a collection of methods. Its properties, in terms of input and output arguments, are explained, the limitations or applicability is indicated via an accompanied text or a table, and a complete running example is shown with all needed MATLAB command prompt code. The text also presents the results, in the form of figures or tables, in parallel with the given MATLAB code, and the MATLAB written code can be later used as a template for trying to solve new cases or datasets. Throughout, the text features worked examples in each chapter for self-study with an accompanying website providing solutions and coding samples. Highlighted notes draw the attention of the user to critical points or issues. Readers will also find information on: Numeric data acquisition and analysis in the form of applying computational algorithms to predict the numeric data patterns (clustering or unsupervised learning) Relationships between predictors and response variable (supervised), categorically sub-divided into classification (discrete response) and regression (continuous response) Image acquisition and analysis in the form of applying one of neural networks, and estimating net accuracy, net loss, and/or RMSE for the successive training, validation, and testing steps Retraining and creation for image labeling, object identification, regression classification, and text recognition Machine and Deep Learning Using MATLAB is a useful and highly comprehensive resource on the subject for professionals, advanced students, and researchers who have some familiarity with MATLAB and are situated in engineering and scientific fields, who wish to gain mastery over the software and its numerous applications.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN)	66003
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN)	58441
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
653 00 - INDEX TERM--UNCONTROLLED
Uncontrolled term	Image acquisition; image analysis; neural networks; training model accuracy; model loss; and RMSE; image labeling; object identification; regression classification; text recognition; matlab tools; matlab apps; matlab engineering
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information	Printed edition:
International Standard Book Number	9781394209088
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier	<a href="https://doi.org/10.1002/9781394209118">https://doi.org/10.1002/9781394209118</a>
Host name	Wiley Online Library
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier	<a href="https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394209118">https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394209118</a>
Host name	Wiley Online Library
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified	Cover Image
Uniform Resource Identifier	<a href="https://onlinelibrary.wiley.com/cms/asset/a99ddb66-5548-449c-8592-6cf2276cb360/9781394209118.cover.gif">https://onlinelibrary.wiley.com/cms/asset/a99ddb66-5548-449c-8592-6cf2276cb360/9781394209118.cover.gif</a>
Host name	Wiley Online Library

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