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Herausgeber: 
  • Pushpa Singh
  • Asha Rani Mishra
  • Payal Garg
  • Data Analytics and Machine Learning: Navigating the Big Data Landscape 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  März 2025  
    Genre:  EDV / Informatik 
     
    bigdata / Datenbanken / Datenmanagement / machinelearningtechniques / Maschinelles Lernen / NaturalLanguageProcessing(NLP) / PredictiveAnalytics / Real-timeanalytics / Streamdatamodel
    ISBN:  9789819704507 
    EAN-Code: 
    9789819704507 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 19 mm 
    Gewicht:  624 gr 
    Seiten:  368 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strategies for implementing data analytics, big data, and machine learning solutions in their own organizations. The book discusses the transformative power of data analytics and big data in various industries and sectors and how machine learning applications have revolutionized exploration by enabling advanced data analysis techniques for mapping, geospatial analysis, and environmental monitoring, enhancing our understanding of the world and its dynamic processes. This book explores how big data explosion, the power of analytics and machine learning revolution can bring new prospects and opportunities in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, big data, and machine learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-time and streaming data.

      
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