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Outliers

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Author : Malcolm Gladwell
language : en
Publisher: Penguin UK
Release Date : 2008-11-18

Outliers written by Malcolm Gladwell and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-18 with Psychology categories.

From the bestselling author of Blink and The Tipping Point, Malcolm Gladwell's Outliers: The Story of Success overturns conventional wisdom about genius to show us what makes an ordinary person an extreme overachiever. Why do some people achieve so much more than others? Can they lie so far out of the ordinary? In this provocative and inspiring book, Malcolm Gladwell looks at everyone from rock stars to professional athletes, software billionaires to scientific geniuses, to show that the story of success is far more surprising, and far more fascinating, than we could ever have imagined. He reveals that it's as much about where we're from and what we do, as who we are - and that no one, not even a genius, ever makes it alone. Outliers will change the way you think about your own life story, and about what makes us all unique. 'Gladwell is not only a brilliant storyteller; he can see what those stories tell us, the lessons they contain' Guardian 'Malcolm Gladwell is a global phenomenon ... he has a genius for making everything he writes seem like an impossible adventure' Observer 'He is the best kind of writer - the kind who makes you feel like you're a genius, rather than he's a genius' The Times

Outliers

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Author : Malcolm Gladwell
language : en
Publisher: Little, Brown
Release Date : 2008-11-18

Outliers written by Malcolm Gladwell and has been published by Little, Brown this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-18 with Business & Economics categories.

Malcolm Gladwell, bestselling author of Blink and The Bomber Mafia and host of the podcast Revisionist History, explores 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 the brightest, the most famous and the most successful. He asks the question: what makes high-achievers different? His answer is that we pay too much attention to what successful people are like, and too little attention to where they are from: that is, their culture, their family, their generation, and the idiosyncratic experiences of their upbringing. Along the way he explains the secrets of software billionaires, what it takes to be a great soccer player, why Asians are good at math, and what made the Beatles the greatest rock band. Brilliant and entertaining, Outliers is a landmark work that will simultaneously delight and illuminate.

Identification Of Outliers

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Author : D. Hawkins
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17

Identification Of Outliers written by D. Hawkins and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Science categories.

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 of old problems in outlier theory, and identified new ones. The major results are, however, scattered amongst many journal articles, and for some time there has been a clear need to bring them together in one place. That was the original intention of this monograph: but during execution it became clear that the existing theory of outliers was deficient in several areas, and so the monograph also contains a number of new results and conjectures. In view of the enormous volume ofliterature on the outlier problem and its cousins, no attempt has been made to make the coverage exhaustive. The material is concerned almost entirely with the use of outlier tests that are known (or may reasonably be expected) to be optimal in some way. Such topics as robust estimation are largely ignored, being covered more adequately in other sources. The numerous ad hoc statistics proposed in the early work on the grounds of intuitive appeal or computational simplicity also are not discussed in any detail.

Outlier Analysis

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Author : Charu C. Aggarwal
language : en
Publisher: Springer
Release Date : 2016-12-10

Outlier Analysis written by Charu C. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-10 with Computers categories.

This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.

What The Dog Saw

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Author : Malcolm Gladwell
language : en
Publisher: Penguin UK
Release Date : 2009-10-20

What The Dog Saw written by Malcolm Gladwell and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-20 with Social Science categories.

In What the Dog Saw Malcolm Gladwell covers everything from criminology to spaghetti sauce to show how the most ordinary subjects can illuminate the most extraordinary things about ourselves and our world. Looking under the surface of the seemingly mundane, he explores the underdogs, the overlooked, the curious, the miraculous and the disastrous, and reveals how everyone and everything contains an incredible story. What the Dog Saw is Gladwell at his very best - asking questions and finding surprising answers. 'A global phenomenon... there is, it seems, no subject over which he cannot scatter some magic dust' Observer 'Gladwell makes the world seem fresh and exciting again' Evening Standard 'Comes exuberantly close to ... what goes on inside other people's heads' Daily Telegraph 'A dizzying array ... his writing talks to all of us' Guardian 'Consistently absorbing ... captivating' Independent 'Gladwell's storytelling qualities and his eye for the human drama ... make this so compelling' Sunday Times

Outliers

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Author : Malcolm Gladwell
language : en
Publisher: Hachette UK
Release Date : 2008-11-18

Outliers written by Malcolm Gladwell and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-18 with Business & Economics categories.

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 the brightest, the most famous and the most successful. He asks the question: what makes high-achievers different? His answer is that we pay too much attention to what successful people are like, and too little attention to where they are from: that is, their culture, their family, their generation, and the idiosyncratic experiences of their upbringing. Along the way he explains the secrets of software billionaires, what it takes to be a great soccer player, why Asians are good at math, and what made the Beatles the greatest rock band. Brilliant and entertaining, Outliers is a landmark work that will simultaneously delight and illuminate.

Outlier Ensembles

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Author : Charu C. Aggarwal
language : en
Publisher: Springer
Release Date : 2017-04-06

Outlier Ensembles written by Charu C. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-06 with Computers categories.

This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more effective. A formal classification of these methods is provided, and the circumstances in which they work well are examined. The authors cover how outlier ensembles relate (both theoretically and practically) to the ensemble techniques used commonly for other data mining problems like classification. The similarities and (subtle) differences in the ensemble techniques for the classification and outlier detection problems are explored. These subtle differences do impact the design of ensemble algorithms for the latter problem. This book can be used for courses in data mining and related curricula. Many illustrative examples and exercises are provided in order to facilitate classroom teaching. A familiarity is assumed to the outlier detection problem and also to generic problem of ensemble analysis in classification. This is because many of the ensemble methods discussed in this book are adaptations from their counterparts in the classification domain. Some techniques explained in this book, such as wagging, randomized feature weighting, and geometric subsampling, provide new insights that are not available elsewhere. Also included is an analysis of the performance of various types of base detectors and their relative effectiveness. The book is valuable for researchers and practitioners for leveraging ensemble methods into optimal algorithmic design.

Liars And Outliers

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Author : Bruce Schneier
language : en
Publisher: John Wiley & Sons
Release Date : 2012-01-27

Liars And Outliers written by Bruce Schneier and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-27 with Social Science categories.

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 society induces trust. He shows the unique role of trust in facilitating and stabilizing human society. He discusses why and how trust has evolved, why it works the way it does, and the ways the information society is changing everything.

Outliers In Control Engineering

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Author : Paweł D. Domański
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-03-07

Outliers In Control Engineering written by Paweł D. Domański and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-07 with Technology & Engineering categories.

Outliers play an important, though underestimated, role in control engineering. Traditionally they are unseen and neglected. In opposition, industrial practice gives frequent examples of their existence and their mostly negative impacts on the control quality. The origin of outliers is never fully known. Some of them are generated externally to the process (exogenous), like for instance erroneous observations, data corrupted by control systems or the effect of human intervention. Such outliers appear occasionally with some unknow probability shifting real value often to some strange and nonsense value. They are frequently called deviants, anomalies or contaminants. In most cases we are interested in their detection and removal. However, there exists the second kind of outliers. Quite often strange looking data observations are not artificial data occurrences. They may be just representatives of the underlying generation mechanism being inseparable internal part of the process (endogenous outliers). In such a case they are not wrong and should be treated with cautiousness, as they may include important information about the dynamic nature of the process. As such they cannot be neglected nor simply removed. The Outlier should be detected, labelled and suitably treated. These activities cannot be performed without proper analytical tools and modeling approaches. There are dozens of methods proposed by scientists, starting from Gaussian-based statistical scoring up to data mining artificial intelligence tools. The research presented in this book presents novel approach incorporating non-Gaussian statistical tools and fractional calculus approach revealing new data analytics applied to this important and challenging task. The proposed book includes a collection of contributions addressing different yet cohesive subjects, like dynamic modelling, classical control, advanced control, fractional calculus, statistical analytics focused on an ultimate goal: robust and outlier-proof analysis. All studied problems show that outliers play an important role and classical methods, in which outlier are not taken into account, do not give good results. Applications from different engineering areas are considered such as semiconductor process control and monitoring, MIMO peltier temperature control and health monitoring, networked control systems, and etc.

David And Goliath

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Author : Malcolm Gladwell
language : en
Publisher: Penguin UK
Release Date : 2013-10-03

David And Goliath written by Malcolm Gladwell and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-03 with Social Science categories.

Why do underdogs succeed so much more than we expect? How do the weak outsmart the strong? In David and Goliath Malcolm Gladwell, no.1 bestselling author of The Tipping Point, Blink, Outliers and What the Dog Saw, takes us on a scintillating and surprising journey through the hidden dynamics that shape the balance of power between the small and the mighty. From the conflicts in Northern Ireland, through the tactics of civil rights leaders and the problem of privilege, Gladwell demonstrates how we misunderstand the true meaning of advantage and disadvantage. When does a traumatic childhood work in someone's favour? How can a disability leave someone better off? And do you really want your child to go to the best school he or she can get into? David and Goliath draws on the stories of remarkable underdogs, history, science, psychology and on Malcolm Gladwell's unparalleled ability to make the connections others miss. It's a brilliant, illuminating book that overturns conventional thinking about power and advantage. 'A global phenomenon... there is, it seems, no subject over which he cannot scatter some magic dust' Observer