Brezplačna dostava za naročila nad 69.99 € na paketomatih Pošte Slovenije.

Preverjanje stanja naročila

Postanite del skupnosti ljubiteljev knjig z vsega sveta in uživajte v številnih ugodnostih. Ustvarite brezplačen račun

Brezplačna dostava Zásilkovna nad 69.99 €

Zbirna točka GLS 4.49 € Zbirna točka DPD 2.99 € Kurirska služba GLS 5.49 € Kurir DPD 3.49 € Kurirska služba 3.49 € Zbirno mesto 3.49 € Zbirno mesto 3.49 € Dostava preko Pošte Slovenije 3.49 €

Kontakt

Kako nakupovati

Pomoč

Moj račun

▸ Prazna :-(

Brezplačna dostava za naročila nad 69.99 € na paketomatih Pošte Slovenije.

Nature Inspired Computing for Data Science

Name: Nature Inspired Computing for Data Science
Brand: Springer Nature Switzerland AG
SKU: 24865034
Price: 97.51 EUR
Availability: InStock
Author: Minakhi Rout
ISBN: 9783030338190

Minakhi Rout

Jitendra Kumar Rout

Himansu Das

Jezik

Angleščina

Knjiga Trda

Koda Libristo: 24865034

Založba Springer Nature Switzerland AG, januar 2020

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

Koda Libristo: 24865034

236 b

97.51 €

Na zalogi pri dobavitelju Odposlali bomo v 10-13 dneh

30 dni za vračilo blaga

Drugi so kupili tudi

Los Milagros del Arcangel Gabriel Doreen Virtue

Mehka

33.51 €

LEGO® City 60486 Elektrické superauto

Igrača

8.80 €

LOS ARCANOS MAYORES DEL TAROT ANONIMO

Mehka

44.85 €

WELTEN TERMINALE FICHIER ELEVE 2005 Gabriele Clerc

Mehka

11.33 €

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

Mehka

57.91 €

Ääneni Yli Vesien Okra Playground

Zvočni CD

18.93 €

Les Nebuleuses. Nouvelle Edition GUFFROY-M

Mehka

13.05 €

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

Mehka

49.51 €

ITA-CARLO GOLDONI Giulio B. 1880 Caprin

Trda

38.17 €

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.