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{ "item_title" : "Machine Learning", "item_author" : [" Irma", "Information Resources Management Associa", "Information Reso Management Association "], "item_description" : "Statistics, psychology, and computer science are major influences in machine learning research. This exciting interdisciplinary science is a crucial component in many cutting-edge systems and business processes. Innovations in machine learning stand to change financial markets and uncover mysteries inherent in human learning. Machine Learning: Concepts, Methodologies, Tools, and Applications offers a wide-ranging selection of key research in a complex field of study. This multi-volume set will cover both broad concepts and specific applications. Chapters will discuss topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/60/960/818/1609608186_b.jpg", "price_data" : { "retail_price" : "1845.00", "online_price" : "1845.00", "our_price" : "1845.00", "club_price" : "1845.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning|Irma

Machine Learning : Concepts, Methodologies, Tools and Applications (3 Volume Set)

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Overview

Statistics, psychology, and computer science are major influences in machine learning research. This exciting interdisciplinary science is a crucial component in many cutting-edge systems and business processes. Innovations in machine learning stand to change financial markets and uncover mysteries inherent in human learning. Machine Learning: Concepts, Methodologies, Tools, and Applications offers a wide-ranging selection of key research in a complex field of study. This multi-volume set will cover both broad concepts and specific applications. Chapters will discuss topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets.

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Details

  • ISBN-13: 9781609608187
  • ISBN-10: 1609608186
  • Publisher: Information Science Reference
  • Publish Date: July 2011
  • Shipping Weight: 2.16 pounds
  • Page Count: 2272

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