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Machine Learning for Computer Scientists and Data Analysts (Record no. 200457432)

MARC details
000 -LEADER
fixed length control field	03829nam a22005295i 4500
003 - CONTROL NUMBER IDENTIFIER
control field	TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20231121102602.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field	cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	220709s2022 sz \| s \|\|\|\| 0\|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9783030967567
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code	10.1007/978-3-030-96756-7
Source of number or code	doi
040 ## - CATALOGING SOURCE
Original cataloging agency	TR-AnTOB
Language of cataloging	eng
Description conventions	rda
Transcribing agency	TR-AnTOB
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title	İngilizce
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number	Q325.5
072 #7 - SUBJECT CATEGORY CODE
Subject category code	TJFC
Source	bicssc

Subject category code	TEC008010
Source	bisacsh

Subject category code	TJFC
Source	thema
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR)	Q325.5EBK
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name	Rafatirad, Setareh.
Relator term	author.
Relator code	aut
--	http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title	Machine Learning for Computer Scientists and Data Analysts
Medium	[electronic resource] :
Remainder of title	From an Applied Perspective /
Statement of responsibility, etc.	by Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao.
250 ## - EDITION STATEMENT
Edition statement	1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture	Cham :
Name of producer, publisher, distributor, manufacturer	Springer International Publishing :
--	Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice	2022.
300 ## - PHYSICAL DESCRIPTION
Extent	1 online resource
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
Encoding format	PDF
Source	rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note	Introduction -- Metadata Extraction and Data Preprocessing -- Data Exploration -- Practice Exercises -- Supervised Learning -- Unsupervised Learning -- Reinforcement Learning -- Model Evaluation and Optimization -- ML in Computer vision – autonomous driving and object recognition -- ML in Health-care – ECG and EEG analysis -- ML in Embedded Systems – resource management -- ML for Security (Malware) -- ML in Big-data Analytics -- ML in Recommender Systems -- ML for Ontology Acquisition from Text and Image Data -- Adversarial Learning -- Graph Adversarial Neural Networks -- Graph Convolutional Networks -- Hardware for Machine Learning -- Software Frameworks.
520 ## - SUMMARY, ETC.
Summary, etc.	This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications. Describes traditional as well as advanced machine learning algorithms; Enables students to learn which algorithm is most appropriate for the data being handled; Includes numerous, practical case-studies; implementation codes in Python available for readers; Uses examples and exercises to reinforce concepts introduced and develop skills. .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Electronic circuits.

Topical term or geographic name entry element	Cooperating objects (Computer systems).

Topical term or geographic name entry element	Machine learning.

Topical term or geographic name entry element	Electronic Circuits and Systems.

Topical term or geographic name entry element	Cyber-Physical Systems.

Topical term or geographic name entry element	Machine Learning.
653 #0 - INDEX TERM--UNCONTROLLED
Uncontrolled term	Algorithms
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Homayoun, Houman.
Relator term	author.
Relator code	aut
--	http://id.loc.gov/vocabulary/relators/aut

Personal name	Chen, Zhiqian.
Relator term	author.
Relator code	aut
--	http://id.loc.gov/vocabulary/relators/aut

Personal name	Pudukotai Dinakarrao, Sai Manoj.
Relator term	author.
Relator code	aut
--	http://id.loc.gov/vocabulary/relators/aut
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	SpringerLink (Online service)
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier	<a href="https://doi.org/10.1007/978-3-030-96756-7">https://doi.org/10.1007/978-3-030-96756-7</a>
Materials specified	Springer eBooks
Public note	Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme	Library of Congress Classification
Koha item type	E-Book

Holdings
Withdrawn status	Lost status	Source of classification or shelving scheme	Not for loan	Collection code	Home library	Current library	Date acquired	Source of acquisition	Inventory number	Total Checkouts	Full call number	Barcode	Date last seen	Copy number	Date shelved	Koha item type	Public note
		Library of Congress Classification	Geçerli değil-e-Kitap / Not applicable-e-Book	E-Kitap Koleksiyonu	Merkez Kütüphane	Merkez Kütüphane	11/10/2023	Satın Alma / Purchase	YAP		Q325.5EBK	EBK03231	21/11/2023	1	21/11/2023	E-Book