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{ "item_title" : "Modern Approaches in Machine Learning and Cognitive Science", "item_author" : [" Vinit Kumar Gunjan", "Jacek M. Zurada", "Balasubramanian Raman "], "item_description" : "This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/038/447/3030384470_b.jpg", "price_data" : { "retail_price" : "179.99", "online_price" : "179.99", "our_price" : "179.99", "club_price" : "179.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Modern Approaches in Machine Learning and Cognitive Science|Vinit Kumar Gunjan

Modern Approaches in Machine Learning and Cognitive Science : A Walkthrough: Latest Trends in AI

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Overview

This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems.

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Details

  • ISBN-13: 9783030384470
  • ISBN-10: 3030384470
  • Publisher: Springer
  • Publish Date: February 2021
  • Dimensions: 9.21 x 6.14 x 0.54 inches
  • Shipping Weight: 0.8 pounds
  • Page Count: 245

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