Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms is popular PDF and ePub book, written by Milutinovi?, Veljko in 2022-03-11, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms can be Read Online from any device for your convenience.

Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms Book PDF Summary

Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.

Detail Book of Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms PDF

Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms
  • Author : Milutinovi?, Veljko
  • Release : 11 March 2022
  • Publisher : IGI Global
  • ISBN : 9781799883524
  • Genre : Computers
  • Total Page : 296 pages
  • Language : English
  • PDF File Size : 8,8 Mb

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