Regressions Models for Data Science in R

by Brian Caffo

This book gives a brief, but rigorous, treatment of regression models intended for practicing Data Scientists.

137 pages, ebook

Published August 5, 2015

About the author

Brian Caffo is a professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He graduated from the Department of Statistics at the University of Florida in 2001, and from the Department of Mathematics at UF in 1995. His doctoral advisor was James G. Booth. He works in the fields of computational statistics and neuroinformatics and co-created the SMART working group. He has been the recipient of the Presidential Early Career Award for Scientists and Engineers, Johns Hopkins Bloomberg School of Public Health Golden Apple and AMTRA teaching awards.

Reviews

[Tomasz Bartczak · Rating 4 out of 5]

Plus video lectures and swirl() repository this makes quite a good start with regression models