Data Science: Measuring Uncertainties (Record no. 60308)

MARC details
000 -LEADER
fixed length control field 05315naaaa2201213uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/76480
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220024619.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number books978-3-0365-0793-4
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783036507927
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783036507934
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-0365-0793-4
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041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
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Authentication code dc
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Subject category code GP
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072 #7 - SUBJECT CATEGORY CODE
Subject category code P
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100 1# - MAIN ENTRY--PERSONAL NAME
Personal name De Bragança Pereira, Carlos Alberto
Relationship edt
245 10 - TITLE STATEMENT
Title Data Science: Measuring Uncertainties
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Basel, Switzerland
Name of publisher, distributor, etc. MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (256 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. With the increase in data processing and storage capacity, a large amount of data is available. Data without analysis does not have much value. Thus, the demand for data analysis is increasing daily, and the consequence is the appearance of a large number of jobs and published articles. Data science has emerged as a multidisciplinary field to support data-driven activities, integrating and developing ideas, methods, and processes to extract information from data. This includes methods built from different knowledge areas: Statistics, Computer Science, Mathematics, Physics, Information Science, and Engineering. This mixture of areas has given rise to what we call Data Science. New solutions to the new problems are reproducing rapidly to generate large volumes of data. Current and future challenges require greater care in creating new solutions that satisfy the rationality for each type of problem. Labels such as Big Data, Data Science, Machine Learning, Statistical Learning, and Artificial Intelligence are demanding more sophistication in the foundations and how they are being applied. This point highlights the importance of building the foundations of Data Science. This book is dedicated to solutions and discussions of measuring uncertainties in data analysis problems.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Research & information: general
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650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics & science
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Uncontrolled term model-based clustering
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Polpo, Adriano
Relationship edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rodrigues, Agatha
Relationship edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name De Bragança Pereira, Carlos Alberto
Relationship oth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Polpo, Adriano
Relationship oth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rodrigues, Agatha
Relationship oth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/3916">https://mdpi.com/books/pdfview/book/3916</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/76480">https://directory.doabooks.org/handle/20.500.12854/76480</a>
Access status 0
Public note DOAB: description of the publication

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