Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
... This conference [... to celebrate the centennial of the birth of Escher] resulted in an immensely interesting collection of articles ... Although Escher himself is no longer among us, M.C.Escher's Legacy, like a garden of continually blooming flowers, allows us to appreciate his heritage anew.
Notices of the AMS April 2003
... It is a handsome volume, and contains articles from 41 people, which cover a wide range of artistic and analytical endeavour. ... A quick dip into each section produces small gems. ... there is enough here to provide rich pickings for any interested party, no matter what their particular discipline is. Embedded in the various articles are even snippets which illuminate Escher's intentions, and his relationships with his mathematician friends ... Even though short, these are rewarding to read.
... the CD-ROM ... is an excellent addition to the book, and contains much more material, including "video" excerpts from some of the lectures."
Australian Math. Soc. GAZETTE May 2003
Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life.
Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more.Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol
Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.