Free delivery for orders over 69.99 euro.

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 69.99 €

DPD courier 5.99 € Bpost point 7.99 € Bpost 7.49 € DPD point 3.49 € GLS courier 4.49 €

Contact

How to shop

Help

My account

▸ Empty :-(

Free delivery for orders over 69.99 euro.

Nature Inspired Computing for Data Science

Name: Nature Inspired Computing for Data Science
Brand: Springer Nature Switzerland AG
SKU: 24865034
Price: 103.1 EUR
Availability: InStock
Author: Minakhi Rout
ISBN: 9783030338190

Minakhi Rout

Jitendra Kumar Rout

Himansu Das

Language

English

Book Hardback

Libristo code: 24865034

Publishers Springer Nature Switzerland AG, January 2020

This book discusses the current research and concepts in data science and how these can be addressed... Full description

Libristo code: 24865034

249 b

103.10 €

In stock at our supplier Shipping in 10-13 days

30-day return policy

Customers also purchased

Los Milagros del Arcangel Gabriel Doreen Virtue

Paperback

35.54 €

LEGO® City 60486 Elektrické superauto

Toy

9.81 €

LOS ARCANOS MAYORES DEL TAROT ANONIMO

Paperback

49.52 €

WELTEN TERMINALE FICHIER ELEVE 2005 Gabriele Clerc

Paperback

12.45 €

Ciudad Abierta de Amereida. Arquitectura desde la Hospitalidad Caraves Silva Patricio

Paperback

61.57 €

Ääneni Yli Vesien Okra Playground

Audio CD

19.94 €

Les Nebuleuses. Nouvelle Edition GUFFROY-M

Paperback

13.66 €

Synth se Et Optimisation D In2s3 Par vaporation Thermique Sous Vide Abdelmajid Timoumi

Paperback

52.66 €

ITA-CARLO GOLDONI Giulio B. 1880 Caprin

Hardback

40.00 €

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.