Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Foundations of Data Science for Engineering Problem Solving
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Foundations of Data Science for Engineering Problem Solving/ by Parikshit Narendra Mahalle, Gitanjali Rahul Shinde, Priya Dudhale Pise, Jyoti Yogesh Deshmukh.
Author:
Mahalle, Parikshit Narendra.
other author:
Shinde, Gitanjali Rahul.
Description:
XIV, 117 p. 58 illus., 50 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-981-16-5160-1
ISBN:
9789811651601
Foundations of Data Science for Engineering Problem Solving
Mahalle, Parikshit Narendra.
Foundations of Data Science for Engineering Problem Solving
[electronic resource] /by Parikshit Narendra Mahalle, Gitanjali Rahul Shinde, Priya Dudhale Pise, Jyoti Yogesh Deshmukh. - 1st ed. 2022. - XIV, 117 p. 58 illus., 50 illus. in color.online resource. - Studies in Big Data,942197-6511 ;. - Studies in Big Data,8.
Introduction to Data Science -- Data Collection and Preparation -- Data Analysis and Machine learning Algorithms -- Data Visualization Tools and Data Modelling -- Data Science in Information, Communication and Technology -- Data Science in Civil & Mechanical Engineering -- Data Science in Clinical Decision System -- Conclusions.
This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.
ISBN: 9789811651601
Standard No.: 10.1007/978-981-16-5160-1doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Foundations of Data Science for Engineering Problem Solving
LDR
:03160nam a22004095i 4500
001
1084456
003
DE-He213
005
20220502134255.0
007
cr nn 008mamaa
008
221228s2022 si | s |||| 0|eng d
020
$a
9789811651601
$9
978-981-16-5160-1
024
7
$a
10.1007/978-981-16-5160-1
$2
doi
035
$a
978-981-16-5160-1
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
100
1
$a
Mahalle, Parikshit Narendra.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1350313
245
1 0
$a
Foundations of Data Science for Engineering Problem Solving
$h
[electronic resource] /
$c
by Parikshit Narendra Mahalle, Gitanjali Rahul Shinde, Priya Dudhale Pise, Jyoti Yogesh Deshmukh.
250
$a
1st ed. 2022.
264
1
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2022.
300
$a
XIV, 117 p. 58 illus., 50 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Studies in Big Data,
$x
2197-6511 ;
$v
94
505
0
$a
Introduction to Data Science -- Data Collection and Preparation -- Data Analysis and Machine learning Algorithms -- Data Visualization Tools and Data Modelling -- Data Science in Information, Communication and Technology -- Data Science in Civil & Mechanical Engineering -- Data Science in Clinical Decision System -- Conclusions.
520
$a
This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Business—Data processing.
$3
1253699
650
0
$a
Engineering—Data processing.
$3
1297966
650
0
$a
Mathematical optimization.
$3
527675
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Business Informatics.
$3
1366864
650
2 4
$a
Data Engineering.
$3
1226308
650
2 4
$a
Optimization.
$3
669174
700
1
$a
Shinde, Gitanjali Rahul.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1350311
700
1
$a
Pise, Priya Dudhale.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1390734
700
1
$a
Deshmukh, Jyoti Yogesh.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1390735
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811651595
776
0 8
$i
Printed edition:
$z
9789811651618
776
0 8
$i
Printed edition:
$z
9789811651625
830
0
$a
Studies in Big Data,
$x
2197-6503 ;
$v
8
$3
1256918
856
4 0
$u
https://doi.org/10.1007/978-981-16-5160-1
912
$a
ZDB-2-INR
912
$a
ZDB-2-SXIT
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
950
$a
Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login