It's surprisinly short (and that's not a bad thing), objective and didactic. I would recommend this to anyone working with Data Science in any level.
Alison Bruce
Peter Mercurio
Peter van der Linden
Peter, "Spring" May
Peter Sester
Peter Terrin
Burns, Peter
Jackson, Peter
Bruce Grubbs
Bruce Handy
Bruce R. Hopkins
Peter Bodenheimer
Peter Burnell
Peter Fisher
Bruce A. Elleman
Bruce Miller
Peter Gaisiance
Peter Vincent Architects
Peter Homer
Robin Bruce Lockhart
Bruce McIvor
Bruce Berglund
Bruce R. Hopkins
Marchiano, Peter, Jr.
Peter Cheyney
Peter Pesl
Peter N. Singer
Peter Atrill
Peter Runia
Peter Riederer
Bruce Jones
Peter Vu
Peter Palffy-Muhoray
Peter Spinks
Bruce Berglund
Peter Wacht
Bruce Holsinger
Wilson, Peter F.R.C.S.
Peter Vaupel
Peter Erwin Kofler
Peter Mead
Peter Caulfield
Peter Stanford
Peter Miller
Klaus-Peter Hanschke
Peter Curtis
Peter Cederstrom
Bruce Hale
Peter Peter Billings
Peter Snow
Peter Devenyi
REV Prof Peter Pryce
Peter Baxter
Peter Reese
Peter Doherty
Bruce Henderson
Peter Phillips
Peter V. N. Henderson
Amit Gharat
Marty Alchin
Basarat Syed
Paula Berinstein
Lawrence S. Meyers
Christine Abernathy
Peter Chrisp
Cindy Rinfret
Phil Vischer
Stanley Gibbons
Christopher J.H. Wright
Sissel-Jo Gazan
Jill Trickett
Michael Livingston
Doreen Chesebro
Ed Gorman
F. R. Buckley
Laura Anne Gilman
Jacqueline Druga
Hannah C. Hall
Steve Rasnic Tem
C. S. Lewis
Daniel Meurois
Gordon R. Dickson
Jessica Spotswood
William Horwood
Jack McDevitt
Educational Testing Service
Vaughn Heppner
Annie Nicholas
Steve Conoboy
Steven Barnes
H. G. Wells
Zhang nai er
He xin ming
Xuecun Murong
Elisabeth Waters
Joe Mynhardt
Thomas L. Friedman
Sierra Dean
Jennifer Nault
Elizabeth Stewart
John Goldner
Jan Ormerod
Dwight R. Schuh