According to LinkedIn's third annual U.S. Emerging Jobs Report, the data scientist role is ranked third among the top-15 emerging jobs in the U.S. Though the field of data science has been exploding, there didn't appear to be a comprehensive resource to help data scientists navigate the interview process... until now. In Be the Outlier: How to Ace Data Science Interviews, data scientist Shrilata Murthy covers all aspects of a data science interview in today's industry. Murthy combines her own experience in the job market with expert insight from data scientists with Google, Facebook, Amazon, NASA, Aetna, MBB & Big 4 consulting firms, and many more. In this book, you'll learn... the foundational knowledge that is key to any data science interview the 100-Word Story framework for writing a stellar resume what to expect from a variety of interview styles (take-home, presentation, case study, etc.), and actionable ways to differentiate yourself from your peers. By using real-world examples, practice questions, and sample interviews, Murthy has created an easy-to-follow guide that will help you crack any data science interview. After reading Be the Outlier, get ready to land your dream job in data science.

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.

“Important . . . [a] landmark presidential biography . . . Bird is able to build a persuasive case that the Carter presidency deserves this new look.”—The New York Times Book Review An essential re-evaluation of the complex triumphs and tragedies of Jimmy Carter’s presidential legacy—from the expert biographer and Pulitzer Prize–winning co-author of American Prometheus Four decades after Ronald Reagan’s landslide win in 1980, Jimmy Carter’s one-term presidency is often labeled a failure; indeed, many Americans view Carter as the only ex-president to have used the White House as a stepping-stone to greater achievements. But in retrospect the Carter political odyssey is a rich and human story, marked by both formidable accomplishments and painful political adversity. In this deeply researched, brilliantly written account, Pulitzer Prize–winning biographer Kai Bird deftly unfolds the Carter saga as a tragic tipping point in American history. As president, Carter was not merely an outsider; he was an outlier. He was the only president in a century to grow up in the heart of the Deep South, and his born-again Christianity made him the most openly religious president in memory. This outlier brought to the White House a rare mix of humility, candor, and unnerving self-confidence that neither Washington nor America was ready to embrace. Decades before today’s public reckoning with the vast gulf between America’s ethos and its actions, Carter looked out on a nation torn by race and demoralized by Watergate and Vietnam and prescribed a radical self-examination from which voters recoiled. The cost of his unshakable belief in doing the right thing would be losing his re-election bid—and witnessing the ascendance of Reagan. In these remarkable pages, Bird traces the arc of Carter’s administration, from his aggressive domestic agenda to his controversial foreign policy record, taking readers inside the Oval Office and through Carter’s battles with both a political establishment and a Washington press corps that proved as adversarial as any foreign power. Bird shows how issues still hotly debated today—from national health care to growing inequality and racism to the Israeli-Palestinian conflict—burned at the heart of Carter’s America, and consumed a president who found a moral duty in solving them. Drawing on interviews with Carter and members of his administration and recently declassified documents, Bird delivers a profound, clear-eyed evaluation of a leader whose legacy has been deeply misunderstood. The Outlier is the definitive account of an enigmatic presidency—both as it really happened and as it is remembered in the American consciousness.

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.

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

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.

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.

This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and discovering anomalies in network data have become prominent tasks, given recent developments in the field of information and communication technologies and security. Accordingly, the book sheds light on specific state-of-the-art algorithmic approaches such as the community-based analysis of networks and characterization of temporal outliers present in dynamic networks. It offers a valuable resource for young researchers working in data mining, helping them understand the technical depth of the outlier detection problem and devise innovative solutions to address related challenges.

Discusses the decision making process and how it is influenced by the environment.

Outlier States examines the role of the United States as an enforcer against the development of nuclear weapons in the international community. In the Bush era Iran and North Korea were branded “rogue” states for their flouting of international norms, and changing their regimes was the administration’s goal. The Obama administration has chosen instead to call the countries nuclear “outliers” and has proposed means other than regime change to bring them back into “the community of nations.” Outlier States, the successor to Litwak’s influential Regime Change: U.S. Strategy through the Prism of 9/11 (2007), explores this significant policy adjustment and raises questions about its feasibility and its possible consequences. Do international norms apply only to states’ external behavior, as it might relate, for example, to nuclear proliferation and terrorism, or do they matter no less for states’ internal behavior, as it might affect a population’s human rights? What is the appropriate role for the United States in the process of reintegration? America’s military power remains unmatched, but can the nation any longer shape singlehandedly an increasingly multi-polar international system? What do the precedents set in Iraq and Libya teach us about how current outliers can be integrated into the international community? And perhaps most important, how should the United States respond if outlier regimes eschew integration as a threat to their survival and continue to augment their nuclear capabilities?