View in EDS PDF Full Text ePub Full Text

Advanced Mathematical Applications in Data Science

Saved in:
Bibliographic Details
Title: Advanced Mathematical Applications in Data Science
Description: Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses. Key Features: - Comprehensive coverage of advanced mathematical concepts and techniques in data science - Contributions from established scientists, researchers, and academicians - Real-world case studies and practical applications of mathematical methods - Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis - In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence - Scholarly references for each chapter - Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.
Authors: Biswadip, Basu Mallik, Kirti, Verma, Rahul, Kar, Ashok, Kumar Shaw, Sardar, M. N. Islam (Naz)
Resource Type: eBook.
Subjects: Mathematical statistics
Categories: COMPUTERS / Mathematical & Statistical Software, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3675150
RelevancyScore: 1116
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1116.28857421875
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3675150$PDF&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3675150$PDF&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Advanced Mathematical Applications in Data Science
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses. Key Features: - Comprehensive coverage of advanced mathematical concepts and techniques in data science - Contributions from established scientists, researchers, and academicians - Real-world case studies and practical applications of mathematical methods - Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis - In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence - Scholarly references for each chapter - Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Biswadip%2C+Basu+Mallik%22">Biswadip, Basu Mallik</searchLink><br /><searchLink fieldCode="AR" term="%22Kirti%2C+Verma%22">Kirti, Verma</searchLink><br /><searchLink fieldCode="AR" term="%22Rahul%2C+Kar%22">Rahul, Kar</searchLink><br /><searchLink fieldCode="AR" term="%22Ashok%2C+Kumar+Shaw%22">Ashok, Kumar Shaw</searchLink><br /><searchLink fieldCode="AR" term="%22Sardar%2C+M%2E+N%2E+Islam+%28Naz%29%22">Sardar, M. N. Islam (Naz)</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Mathematical+statistics%22">Mathematical statistics</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Mathematical+%26+Statistical+Software%22">COMPUTERS / Mathematical & Statistical Software</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+General%22">COMPUTERS / Data Science / General</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=3675150
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 519.5
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Mathematical statistics
        Type: general
    Titles:
      – TitleFull: Advanced Mathematical Applications in Data Science
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Biswadip, Basu Mallik
      – PersonEntity:
          Name:
            NameFull: Kirti, Verma
      – PersonEntity:
          Name:
            NameFull: Rahul, Kar
      – PersonEntity:
          Name:
            NameFull: Ashok, Kumar Shaw
      – PersonEntity:
          Name:
            NameFull: Sardar, M. N. Islam (Naz)
      – PersonEntity:
          Name:
            NameFull: Biswadip, Basu Mallik
      – PersonEntity:
          Name:
            NameFull: Kirti, Verma
      – PersonEntity:
          Name:
            NameFull: Rahul, Kar
      – PersonEntity:
          Name:
            NameFull: Ashok, Kumar Shaw
      – PersonEntity:
          Name:
            NameFull: Sardar, M. N. Islam (Naz)
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 30
              M: 04
              Type: profile
              Y: 2024
          Identifiers:
            – Type: isbn-print
              Value: 9789815124859
            – Type: isbn-electronic
              Value: 9789815124842
          Titles:
            – TitleFull: Advanced Mathematical Applications in Data Science
              Type: main
ResultId 1