An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Category: Book
Binding: Hardcover
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Results An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to R ~ This is an introduction to R “GNU S” a language and environment for statistical computing and graphics R is similar to the awardwinning 1 S system which was developed at Bell Laboratories by John Chambers et al It provides a wide variety of statistical and graphical techniques linear and
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A survey of outlier detection methodologies Jim Austin ~ is a platform for academics to share research papers
Semiconductor Wikipedia ~ A semiconductor material has an electrical conductivity value falling between that of a metal like copper gold etc and an insulator such as resistance decreases as their temperature increases which is behaviour opposite to that of a metal Their conducting properties may be altered in useful ways by the deliberate controlled introduction of impurities doping into the
Efficient estimation of natural gas compressibility factor ~ 1 Introduction The role of natural gas in meeting the world energy demand has been increasing because of its abundance versatility and clean burning Wang and Economides 2009Natural gas often contains some amounts of heavier hydrocarbon and nonhydrocarbon components that contribute to its properties
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R FAQ ~ 21 What is R R is a system for statistical computation and graphics It consists of a language plus a runtime environment with graphics a debugger access to certain system functions and the ability to run programs stored in script files
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All the software a geoscientist needs For free Volcan01010 ~ John a great review Python is quite a steep learning curve to eclipse Matlab In this instance I would suggest that R has now come of age and with ggplot is now a viable replacement for most of the work that we ever did in Matlab
