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.
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.
Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; ...
"Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; ...
... Intro- duction for Scientists and Engineers (2nd ed.). Oxford University Press. Davies, D. L. & Bouldin, D. W. (1979). Clus- ter separation measure. IEEE Transac- tions on Pattern Analysis and Machine In- telligence, PAMI-1(2), 224–227 ...