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Data Science for Water Utilities: Data as a Source of Value (Chapman &

Description: 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 author’s 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.

Price: 161 USD

Location: Wiri

End Time: 2024-12-02T13:21:21.000Z

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Data Science for Water Utilities: Data as a Source of Value (Chapman &Data Science for Water Utilities: Data as a Source of Value (Chapman &

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 60 Days

Refund will be given as: Money Back

EAN: 9781032354552

UPC: 9781032354552

ISBN: 9781032354552

MPN: N/A

Book Title: Data Science for Water Utilities: Data as a Source

Item Height: 1.3 cm

Number of Pages: 197 Pages

Language: English

Publication Name: Data Science for Water Utilities : Data As a Source of Value

Publisher: CRC Press LLC

Subject: Programming / Games, Environmental / Water Supply, Natural Resources

Publication Year: 2023

Item Weight: 19.4 Oz

Type: Textbook

Author: Peter Prevos

Subject Area: Nature, Computers, Technology & Engineering

Item Length: 10 in

Series: Chapman and Hall/Crc Data Science Ser.

Item Width: 7 in

Format: Hardcover

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