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Sharon Bertsch McGrayne - The Theory That Would Not Die |
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- Sharon Bertsch McGrayne - The Theory That Would Not Die.torrent
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- Audiobooks
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- 07db02a3186415885545e2ac819267936f3f0ac1
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- 328 MB in 0 files
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- Uploaded on 23-01-2015 by our crawler pet called "Spidey".
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Written by The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
Read by Laural Merlington
Format: MP3
Bitrate: 64 Kbps
Unabridged The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy (UNABRIDGED)
by Sharon Bertsch McGrayne
Narrated by Laural Merlington LENGTH: 11 hrs and 51 mins
RELEASE DATE: 03-30-12
PUBLISHER: Tantor Audio Publisher's Summary Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. In the first-ever account of Bayes' rule for general readers and listeners, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years - at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information, even breaking Germany's Enigma code during World War II, and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA decoding to Homeland Security. Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time. ©2011 Sharon Bertsch McGrayne (P)2012 Tantor What the Critics Say "If you are not thinking like a Bayesian, perhaps you should be." (New York Times Book Review)
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