Nature Inspired Computing for Data Science
Author | : Minakhi Rout |
Publisher | : Springer Nature |
Total Pages | : 303 |
Release | : 2019-11-26 |
ISBN-10 | : 9783030338206 |
ISBN-13 | : 3030338207 |
Rating | : 4/5 (06 Downloads) |
Download or read book Nature Inspired Computing for Data Science written by Minakhi Rout and published by Springer Nature. This book was released on 2019-11-26 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.