Fundamentals of data science

• Verfasst von: Kalita, Jugal Kumar [VerfasserIn]
• Verfasst von: Bhattacharyya, Dhruba Kumar [VerfasserIn]
• Verfasst von: Roy, Swarup [VerfasserIn]
• Titel: Fundamentals of data science
• Titelzusatz: theory and practice
• Verf.angabe: Jugal K. Kalita, Dhruba K. Bhattacharyya, Swarup Roy
• Verlagsort: London ; San Diego, CA
• Verlag: Academic Press
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource
• Fussnoten: Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on February 20, 2024)
• ISBN: 0-323-97263-2
• ISBN: 978-0-323-97263-5
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Données volumineuses
• K10plus-PPN: 1892762463
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4544461715
• Lokale URL Inst.: Zum Volltext

Abstract

Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics. Users will find the authors' research experiences and achievements in data science applications, along with in-depth discussions on topics that are essential for data science projects, including pre-processing, that is carried out before applying predictive and descriptive data analysis tasks and proximity measures for numeric, categorical and mixed-type data.The book's authors include a systematic presentation of many predictive and descriptive learning algorithms, including recent developments that have successfully handled large datasets with high accuracy. In addition, a number of descriptive learning tasks are included.