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Outliers
Language: en
Pages: 320
Authors: Malcolm Gladwell
Categories: Business & Economics
Type: BOOK - Published: 2008-11-18 - Publisher: Hachette UK

From the bestselling author of The Bomber Mafia, learn what sets high achievers apart—from Bill Gates to the Beatles—in this seminal work from "a singular talent" (New York Times Book Review). In this stunning book, Malcolm Gladwell takes us on an intellectual journey through the world of "outliers"—the best and
Identification of Outliers
Language: en
Pages: 188
Authors: D. Hawkins
Categories: Juvenile Nonfiction
Type: BOOK - Published: 2013-04-17 - Publisher: Springer Science & Business Media

The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it is once again an active research area after some years of relative neglect, and recent work has solved a number
Liars and Outliers
Language: en
Pages: 384
Authors: Bruce Schneier
Categories: Social Science
Type: BOOK - Published: 2012-01-27 - Publisher: John Wiley & Sons

In today's hyper-connected society, understanding the mechanisms of trust is crucial. Issues of trust are critical to solving problems as diverse as corporate responsibility, global warming, and the political system. In this insightful and entertaining book, Schneier weaves together ideas from across the social and biological sciences to explain how
The Outliers (The Outliers, Book 1)
Language: en
Pages: 400
Authors: Kimberly McCreight
Categories: Young Adult Fiction
Type: BOOK - Published: 2016-05-03 - Publisher: HarperCollins UK

From New York Times bestselling author Kimberley McCreight comes the first book in a breathtakingly brilliant new trilogy, packed with tension, romance and thrilling twists and turns. They’ll get inside your head...
New Developments in Unsupervised Outlier Detection
Language: en
Pages:
Authors: Xiaochun Wang
Categories: Young Adult Fiction
Type: BOOK - Published: - Publisher: Springer Nature

Books about New Developments in Unsupervised Outlier Detection