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{ "item_title" : "Ubiquitous Machine Learning and Its Applications", "item_author" : [" Pradeep Kumar", "Arvind Tiwari "], "item_description" : "Constant improvements in technological applications have allowed for more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but also ensures that technological progression will continue. Ubiquitous Machine Learning and its Applications is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/52/252/545/1522525459_b.jpg", "price_data" : { "retail_price" : "185.00", "online_price" : "185.00", "our_price" : "185.00", "club_price" : "185.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Ubiquitous Machine Learning and Its Applications|Pradeep Kumar

Ubiquitous Machine Learning and Its Applications

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Overview

Constant improvements in technological applications have allowed for more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but also ensures that technological progression will continue. Ubiquitous Machine Learning and its Applications is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines.

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Details

  • ISBN-13: 9781522525455
  • ISBN-10: 1522525459
  • Publisher: Information Science Reference
  • Publish Date: March 2017
  • Dimensions: 10 x 7 x 0.69 inches
  • Shipping Weight: 1.58 pounds
  • Page Count: 288

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