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{ "item_title" : "Machine Learning using Weka", "item_author" : [" Jose P", "Kanchana R", "Manju A "], "item_description" : "Machine learning provides an exciting set of technologies that includes practical tools for analyzing data and making predictions.It also powers the latest advances in artificial intelligence.The book continues to provide references to Weka implementations of algorithms that it describes. The Weka MOOCs provide activities similar to the tutorial exercises.It is our endeavour to make machine learning using Weka, a Discipline of statistics and computer science, the theory and practice of all of the plots and numerical output displayed in the book have been produced with the Weka software, reachable to all kind of students. Program forMachine learning using Weka and Learn practical skills to make your work more efficient.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/6/20/564/076/6205640767_b.jpg", "price_data" : { "retail_price" : "46.00", "online_price" : "46.00", "our_price" : "46.00", "club_price" : "46.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning using Weka|Jose P

Machine Learning using Weka

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Overview

Machine learning provides an exciting set of technologies that includes practical tools for analyzing data and making predictions.It also powers the latest advances in artificial intelligence.The book continues to provide references to Weka implementations of algorithms that it describes. The Weka MOOCs provide activities similar to the tutorial exercises.It is our endeavour to make machine learning using Weka, a Discipline of statistics and computer science, the theory and practice of all of the plots and numerical output displayed in the book have been produced with the Weka software, reachable to all kind of students. Program forMachine learning using Weka and Learn practical skills to make your work more efficient.

This item is Non-Returnable

Details

  • ISBN-13: 9786205640760
  • ISBN-10: 6205640767
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: October 2024
  • Dimensions: 9 x 6 x 0.16 inches
  • Shipping Weight: 0.25 pounds
  • Page Count: 68

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