Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	März 2023
Genre:	Naturwissensch., Medizin, Technik
	Data analysis# general / Data Mining / Data science and analysis# general / Environmental Management / Environmental Monitoring / Geographical information systems (GIS) & remote sensing / Geographical information systems, geodata and remote sensing / machine learning / Mathematical & statistical software / Mathematical and statistical software / Meteorology & climatology / Meteorology and climatology / pattern recognition / Science / Environmental Science mehr...
ISBN:	9781107065550
EAN-Code:	9781107065550
Verlag:	Cambridge Academic
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 250 mm / B 175 mm / D 35 mm
Gewicht:	1330 gr
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Statistical and machine learning methods have many applications in the environmental sciences, including prediction and data analysis in meteorology, hydrology and oceanography; pattern recognition for satellite images from remote sensing; management of agriculture and forests; assessment of climate change; and much more. With rapid advances in machine learning in the last decade, this book provides an urgently needed, comprehensive guide to machine learning and statistics for students and researchers interested in environmental data science. It includes intuitive explanations covering the relevant background mathematics, with examples drawn from the environmental sciences. A broad range of topics is covered, including correlation, regression, classification, clustering, neural networks, random forests, boosting, kernel methods, evolutionary algorithms and deep learning, as well as the recent merging of machine learning and physics. End¿of¿chapter exercises allow readers to develop their problem-solving skills, and online datasets allow readers to practise analysis of real data.