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{ "item_title" : "Handbook of Research on Machine Learning Applications and Trends", "item_author" : [" Olivas", "Emilio Soria Olivas", "Jose David Martin Guerrero "], "item_description" : "The machine learning approach provides a useful tool when the amount of data is very large and a model is not available to explain the generation and relation of the data set. The Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques provides a set of practical applications for solving problems and applying various techniques in automatic data extraction and setting. A defining collection of field advancements, this Handbook of Research fills the gap between theory and practice, providing a strong reference for academicians, researchers, and practitioners.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/60/566/766/1605667668_b.jpg", "price_data" : { "retail_price" : "495.00", "online_price" : "495.00", "our_price" : "495.00", "club_price" : "495.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Handbook of Research on Machine Learning Applications and Trends|Olivas

Handbook of Research on Machine Learning Applications and Trends : Algorithms, Methods, and Techniques

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Overview

The machine learning approach provides a useful tool when the amount of data is very large and a model is not available to explain the generation and relation of the data set. The Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques provides a set of practical applications for solving problems and applying various techniques in automatic data extraction and setting. A defining collection of field advancements, this Handbook of Research fills the gap between theory and practice, providing a strong reference for academicians, researchers, and practitioners.

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Details

  • ISBN-13: 9781605667669
  • ISBN-10: 1605667668
  • Publisher: Information Science Reference
  • Publish Date: August 2009
  • Shipping Weight: 0.36 pounds
  • Page Count: 852

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