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{ "item_title" : "Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (Icmlbda) 2021)", "item_author" : [" Rajiv Misra", "Rudrapatna K. Shyamasundar", "Amrita Chaturvedi "], "item_description" : "This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets-i.e., big data-to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/082/468/3030824683_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (Icmlbda) 2021)|Rajiv Misra

Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (Icmlbda) 2021)

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Overview

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets-i.e., big data-to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.

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Details

  • ISBN-13: 9783030824686
  • ISBN-10: 3030824683
  • Publisher: Springer
  • Publish Date: September 2021
  • Dimensions: 9.21 x 6.14 x 0.78 inches
  • Shipping Weight: 1.16 pounds
  • Page Count: 362

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