Nature Inspired Computing for Data Science

preview-18
  • Nature Inspired Computing for Data Science Book Detail

  • Author : Minakhi Rout
  • Release Date : 2019-11-26
  • Publisher : Springer Nature
  • Genre : Computers
  • Pages : 303
  • ISBN 13 : 3030338207
  • File Size : 49,49 MB

Nature Inspired Computing for Data Science by Minakhi Rout PDF Summary

Book Description: This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

Disclaimer: www.yourbookbest.com does not own Nature Inspired Computing for Data Science books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Nature Inspired Computing for Data Science

Nature Inspired Computing for Data Science

File Size : 34,34 MB
Total View : 7239 Views
DOWNLOAD

This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Fo

Nature-Inspired Computing and Optimization

Nature-Inspired Computing and Optimization

File Size : 11,11 MB
Total View : 3329 Views
DOWNLOAD

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is