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      Challenges and Applications of Data Analytics in Social Perspectives

      2 in stock

      Firm sale: non returnable item
      SKU 9781799825661 Categories ,
      Provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. Topics examined include collaborative filtering, data visualization, and edge com...

      £270.00

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      Description

      Product ID:9781799825661
      Product Form:Hardback
      Country of Manufacture:US
      Title:Challenges and Applications of Data Analytics in Social Perspectives
      Authors:Author: Atilla Elci, V. Sathiyamoorthi
      Page Count:330
      Subjects:Data capture and analysis, Data capture & analysis, Information visualization, Information visualization
      Description:Provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. Topics examined include collaborative filtering, data visualization, and edge computing.
      With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.
      Imprint Name:Business Science Reference
      Publisher Name:IGI Global
      Country of Publication:GB
      Publishing Date:2020-11-30

      Additional information

      Weight1108 g
      Dimensions223 × 290 × 27 mm