Summary And Analysis Of Outliers PDF Download
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| Author | : Malcolm Gladwell |
| Publisher | : Penguin UK |
| Total Pages | : 174 |
| Release | : 2008-11-18 |
| Genre | : Psychology |
| ISBN | : 014190349X |
Download Outliers Book in PDF, ePub and Kindle
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
| Author | : Charu C. Aggarwal |
| Publisher | : Springer |
| Total Pages | : 481 |
| Release | : 2016-12-10 |
| Genre | : Computers |
| ISBN | : 3319475789 |
Download Outlier Analysis Book in PDF, ePub and Kindle
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.
| Author | : Bruce Schneier |
| Publisher | : John Wiley & Sons |
| Total Pages | : 387 |
| Release | : 2012-01-27 |
| Genre | : Social Science |
| ISBN | : 1118239016 |
Download Liars and Outliers Book in PDF, ePub and Kindle
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.
| Author | : Kimberly McCreight |
| Publisher | : HarperCollins |
| Total Pages | : 221 |
| Release | : 2016-05-03 |
| Genre | : Young Adult Fiction |
| ISBN | : 0062359118 |
Download The Outliers Book in PDF, ePub and Kindle
From the New York Times bestselling author of Reconstructing Amelia comes a fast-paced teen series where one girl learns that in a world of intrigue, betrayal, and deeply buried secrets, it is vital to trust your instincts. It all starts with a text: Please, Wylie, I need your help. Wylie hasn’t heard from Cassie in over a week, not since their last fight. But that doesn’t matter. Cassie’s in trouble, so Wylie decides to do what she has done so many times before: save her best friend from herself. This time it’s different, though. Instead of telling Wylie where she is, Cassie sends cryptic clues. And instead of having Wylie come by herself, Jasper shows up saying Cassie sent him to help. Trusting the guy who sent Cassie off the rails doesn’t feel right, but Wylie has no choice but to ignore her gut instinct and go with him. But figuring out where Cassie is goes from difficult to dangerous, fast. As Wylie and Jasper head farther and farther north into the dense woods of Maine, Wylie struggles to control her growing sense that something is really wrong. What isn’t Cassie telling them? And could finding her be only the beginning? In this breakneck tale, New York Times bestselling author Kimberly McCreight brilliantly chronicles a fateful journey that begins with a single decision—and ends up changing everything.
| Author | : Charles Wheelan |
| Publisher | : W. W. Norton & Company |
| Total Pages | : 320 |
| Release | : 2013-01-07 |
| Genre | : Mathematics |
| ISBN | : 0393089827 |
Download Naked Statistics: Stripping the Dread from the Data Book in PDF, ePub and Kindle
A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
| Author | : MIT Critical Data |
| Publisher | : Springer |
| Total Pages | : 435 |
| Release | : 2016-09-09 |
| Genre | : Medical |
| ISBN | : 3319437429 |
Download Secondary Analysis of Electronic Health Records Book in PDF, ePub and Kindle
This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
| Author | : Malcolm Gladwell |
| Publisher | : Little, Brown |
| Total Pages | : 313 |
| Release | : 2013-10-01 |
| Genre | : Psychology |
| ISBN | : 0316204382 |
Download David and Goliath Book in PDF, ePub and Kindle
Explore the power of the underdog in Malcolm Gladwell's dazzling examination of success, motivation, and the role of adversity in shaping our lives, from the bestselling author of The Bomber Mafia. Three thousand years ago on a battlefield in ancient Palestine, a shepherd boy felled a mighty warrior with nothing more than a stone and a sling, and ever since then the names of David and Goliath have stood for battles between underdogs and giants. David's victory was improbable and miraculous. He shouldn't have won. Or should he have? In David and Goliath, Malcolm Gladwellchallenges how we think about obstacles and disadvantages, offering a new interpretation of what it means to be discriminated against, or cope with a disability, or lose a parent, or attend a mediocre school, or suffer from any number of other apparent setbacks. Gladwell begins with the real story of what happened between the giant and the shepherd boy those many years ago. From there, David and Goliath examines Northern Ireland's Troubles, the minds of cancer researchers and civil rights leaders, murder and the high costs of revenge, and the dynamics of successful and unsuccessful classrooms—all to demonstrate how much of what is beautiful and important in the world arises from what looks like suffering and adversity. In the tradition of Gladwell's previous bestsellers—The Tipping Point, Blink, Outliers and What the Dog Saw—David and Goliath draws upon history, psychology, and powerful storytelling to reshape the way we think of the world around us.
| Author | : Robert Greene |
| Publisher | : Penguin |
| Total Pages | : 369 |
| Release | : 2013-10-29 |
| Genre | : Self-Help |
| ISBN | : 014312417X |
Download Mastery Book in PDF, ePub and Kindle
From the bestselling author of The 48 Laws of Power and The Laws of Human Nature, a vital work revealing that the secret to mastery is already within you. Each one of us has within us the potential to be a Master. Learn the secrets of the field you have chosen, submit to a rigorous apprenticeship, absorb the hidden knowledge possessed by those with years of experience, surge past competitors to surpass them in brilliance, and explode established patterns from within. Study the behaviors of Albert Einstein, Charles Darwin, Leonardo da Vinci and the nine contemporary Masters interviewed for this book. The bestseller author of The 48 Laws of Power, The Art of Seduction, and The 33 Strategies of War, Robert Greene has spent a lifetime studying the laws of power. Now, he shares the secret path to greatness. With this seminal text as a guide, readers will learn how to unlock the passion within and become masters.
| Author | : Peter J. Rousseeuw |
| Publisher | : John Wiley & Sons |
| Total Pages | : 329 |
| Release | : 2005-02-25 |
| Genre | : Mathematics |
| ISBN | : 0471725374 |
Download Robust Regression and Outlier Detection Book in PDF, ePub and Kindle
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists. "The writing style is clear and informal, and much of thediscussion is oriented to application. In short, the book is akeeper." –Mathematical Geology "I would highly recommend the addition of this book to thelibraries of both students and professionals. It is a usefultextbook for the graduate student, because it emphasizes both thephilosophy and practice of robustness in regression settings, andit provides excellent examples of precise, logical proofs oftheorems. . . .Even for those who are familiar with robustness, thebook will be a good reference because it consolidates the researchin high-breakdown affine equivariant estimators and includes anextensive bibliography in robust regression, outlier diagnostics,and related methods. The aim of this book, the authors tell us, is‘to make robust regression available for everyday statisticalpractice.’ Rousseeuw and Leroy have included all of thenecessary ingredients to make this happen." –Journal of the American Statistical Association
| Author | : Mathias Harrer |
| Publisher | : CRC Press |
| Total Pages | : 500 |
| Release | : 2021-09-15 |
| Genre | : Mathematics |
| ISBN | : 1000435636 |
Download Doing Meta-Analysis with R Book in PDF, ePub and Kindle
Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book
