An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) by by Gareth James and Daniela Witten

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

by Gareth James and Daniela Witten
464 pages
Addison-Wesley Professional
Jan 1971
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About the Author Jared P. Lander is the owner of Lander Analytics, a statistical consultanting firm based in New York City, the organizer of the New York Open Statistical Programming Meetup and an adjunct professor of statistics at Columbia University. He is also a tour guide for Scott’s Pizza Tours and an advisor to Brewla Bars, a gourmet ice pop startup. With an M.A. from Columbia University in statistics, and a B.A. from Muhlenberg College in mathematics, he has experience in both academic research and industry. His work for both large and small organizations spans politics, tech startups, fund raising, music, finance, healthcare and humanitarian relief efforts. He specializes in data management, multilevel models, machine learning, generalized linear models, visualization, data management and statistical computing
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About this book
Pages 464
Publisher Addison-Wesley Profe...
Published 1971
Readers 0