Navigation

Informatik

Data Science for Water Utilities

Data as a Source of Value

Udgivet af Taylor & Francis Ltd

Bogdetaljer

  • Hæftet
  • 197 sider
  • Engelsk
ISBN 9781032354545
Om denne bog

This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the authors extensive experience.Data Science for Water Utilities: Data as…

Se alle bogdetaljer →
Prissammenligning

Ingen boghandelspriser listet endnu

Denne titel er i vores bogkatalog. Butikstilbud vises her, når de er tilgængelige.

Betroet sælger:

Ingen boghandelstilbud lige nu.

Søg efter ISBN
Opdateret i dag

Boghandelspriser

Boghandel Titel Format ISBN Pris Lagerstatus Levering

Ingen boghandelstilbud endnu

Vi har titlen i kataloget. Priser vises her, når boghandlere lister den.

0.0
0 anmeldelser
5
0
4
0
3
0
2
0
1
0
0%
Anbefaler
0
Verificeret
Alle anmeldelser (0)

Ingen anmeldelser endnu

Skriv en anmeldelse

Valgfri - Kun brugt til verifikation
0 / 5000 tegn
Bogdetaljer
Forfatter Peter Prevos
Forlag Taylor & Francis Ltd
Kategori Informatik
ISBN-13 9781032354545
EAN 9781032354545
Format Hæftet
Sprog Engelsk
sider 197
Undertitel - Data as a Source of Value
Produktbeskrivelse
This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the authors extensive experience.Data Science for Water Utilities: Data as a Source of Value is an applied, practical guide that shows water professionals how to use data science to solve urban water management problems. Content develops through four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that, with each case study, increases in complexity. The last case study analyses data using basic machine learning.Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to data science and creating value with R.

Prishistorik

Indlæser prishistorik...

Få prisalarm

Bliv underrettet, når prisen falder til dit ønskede beløb.