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{ "item_title" : "Computational Intelligence in Machine Learning", "item_author" : [" Amit Kumar", "Jacek M. Zurada", "Vinit Kumar Gunjan "], "item_description" : "The book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications. ", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/168/486/9811684863_b.jpg", "price_data" : { "retail_price" : "499.99", "online_price" : "499.99", "our_price" : "499.99", "club_price" : "499.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computational Intelligence in Machine Learning|Amit Kumar

Computational Intelligence in Machine Learning : Select Proceedings of ICCIML 2021

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Overview

The book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications.

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Details

  • ISBN-13: 9789811684869
  • ISBN-10: 9811684863
  • Publisher: Springer
  • Publish Date: March 2023
  • Dimensions: 9.21 x 6.14 x 1.1 inches
  • Shipping Weight: 1.66 pounds
  • Page Count: 528

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