Nature Inspired Computing for Data Science

Nature Inspired Computing for Data Science

Nature Inspired Computing for Data Science

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.

 

DOWNLOAD THIS BOOK

 

DISCLAIMER

This website strictly complies with DMCA Digital Copyright Laws.. Please be clear that we (edownloads.me) do not own copyrights of these e-books. The intention behind sharing these books and educational material is to provide easy access to students, researchers and other readers who don't have access to these books at their local libraries, "thus only for educational purpose". We highly encourage our readers to purchase this content from the respected publishers. If anyone holding copyrights wants us to remove this content, please contact us rightaway. All books and educational material on edownloads.me are free and NOT HOSTED ON OUR WEBSITE. If you feel that your copyrights have been violated, then please contact us immediately. You may send an email to infomanzastore@gmail.com for all DMCA / Removal Requests. edownloads.me doesn’t have any material hosted on the server of this page, only links to books that are taken from other sites on the web are published and these links are unrelated to the book server. edownloads.me server doesnot store any type of book or material. No illegal copies are made or any copyright © and / or copyright is damaged or infringed since all material is free on the internet.

Add a Comment