Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    Sachs is renowned for his work around the globe advising economies in crisis. Now a classic of its genre, The End of Poverty distills more than thirty years of experience to offer a uniquely informed vision of the steps that can transform impoverished countries into prosperous ones. Marrying vivid storytelling with rigorous analysis, Sachs lays out a clear conceptual map of the world economy. Explaining his own work in Bolivia, Russia, India, China, and Africa, he offers an integrated set of solutions to the interwoven economic, political, environmental, and social problems that challenge the world's poorest countries.   Ten years after its initial publication, The End of Poverty remains an indispensible and influential work. In this 10th anniversary edition, Sachs presents an extensive new foreword assessing the progress of the past decade, the work that remains to be done, and how each of us can help. He also looks ahead across the next fifteen years to 2030, the United Nations' target date for ending extreme poverty, offering new insights and recommendations.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Here are the central questions it inspires: How do we make long-term thinking automatic and common instead of difficult and rare? Discipline in thought allows freedom. One needs the space and reliability to predict continuity to have the confidence not to be afraid of revolutions Taking the time to think of the future is more essential now than ever, as culture accelerates beyond its ability to be measured Probable things are vastly outnumbered by countless near-impossible eventualities. Reality is statistically forced to be extraordinary; fiction is not allowed this freedom This is a potent book that combines the chronicling of fantastic technology with equally visionary philosophical inquiry.

    Not in an editor, IDE, or design tool. You're well educated on how to work with software and hardware, but what about wetware--our own brains? Learning new skills and new technology is critical to your career, and it's all in your head. In this book by Andy Hunt, you'll learn how our brains are wired, and how to take advantage of your brain's architecture. You'll learn new tricks and tips to learn more, faster, and retain more of what you learn. You need a pragmatic approach to thinking and learning. You need to Refactor Your Wetware. Programmers have to learn constantly; not just the stereotypical new technologies, but also the problem domain of the application, the whims of the user community, the quirks of your teammates, the shifting sands of the industry, and the evolving characteristics of the project itself as it is built. We'll journey together through bits of cognitive and neuroscience, learning and behavioral theory. You'll see some surprising aspects of how our brains work, and how you can take advantage of the system to improve your own learning and thinking skills.In this book you'll learn how to:Use the Dreyfus Model of Skill Acquisition to become more expertLeverage the architecture of the brain to strengthen different thinking modesAvoid common "known bugs" in your mindLearn more deliberately and more effectivelyManage knowledge more efficientlyPrinted in full color.

    Mitnick claims that this socialengineering tactic was the single-most effective method in hisarsenal. This indispensable book examines a variety of maneuversthat are aimed at deceiving unsuspecting victims, while it alsoaddresses ways to prevent social engineering threats.Examines social engineering, the science of influencing atarget to perform a desired task or divulge informationArms you with invaluable information about the many methods oftrickery that hackers use in order to gather information with theintent of executing identity theft, fraud, or gaining computersystem accessReveals vital steps for preventing social engineeringthreatsSocial Engineering: The Art of Human Hacking does itspart to prepare you against nefarious hackers--now you can doyour part by putting to good use the critical information withinits pages.

    Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.It's increasingly difficult to know what's true. Misinformation, disinformation, and fake news abound. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don't feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data.You don't need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.

    You think you can solve your human error problem by telling people to be more careful, by reprimanding the miscreants, by issuing a new rule or procedure. These are all expressions of 'The Bad Apple Theory', where you believe your system is basically safe if it were not for those few unreliable people in it. This old view of human error is increasingly outdated and will lead you nowhere. The new view, in contrast, understands that a human error problem is actually an organizational problem. Finding a 'human error' by any other name, or by any other human, is only the beginning of your journey, not a convenient conclusion. The new view recognizes that systems are inherent trade-offs between safety and other pressures (for example: production). People need to create safety through practice, at all levels of an organization. Breaking new ground beyond its successful predecessor, The Field Guide to Understanding Human Error guides you through the traps and misconceptions of the old view. It explains how to avoid the hindsight bias, to zoom out from the people closest in time and place to the mishap, and resist the temptation of counterfactual reasoning and judgmental language. But it also helps you look forward. It suggests how to apply the new view in building your safety department, handling questions about accountability, and constructing meaningful countermeasures. It even helps you in getting your organization to adopt the new view and improve its learning from failure. So if you are faced by a human error problem, abandon the fallacy of a quick fix. Read this book.

    What makes an operating system modern? According to author Andrew Tanenbaum, it is the awareness of high-demand computer applications--primarily in the areas of multimedia, parallel and distributed computing, and security. The development of faster and more advanced hardware has driven progress in software, including enhancements to the operating system. It is one thing to run an old operating system on current hardware, and another to effectively leverage current hardware to best serve modern software applications. If you don't believe it, install Windows 3.0 on a modern PC and try surfing the Internet or burning a CD. Readers familiar with Tanenbaum's previous text, Operating Systems, know the author is a great proponent of simple design and hands-on experimentation. His earlier book came bundled with the source code for an operating system called Minux, a simple variant of Unix and the platform used by Linus Torvalds to develop Linux. Although this book does not come with any source code, he illustrates many of his points with code fragments (C, usually with Unix system calls). The first half of Modern Operating Systems focuses on traditional operating systems concepts: processes, deadlocks, memory management, I/O, and file systems. There is nothing groundbreaking in these early chapters, but all topics are well covered, each including sections on current research and a set of student problems. It is enlightening to read Tanenbaum's explanations of the design decisions made by past operating systems gurus, including his view that additional research on the problem of deadlocks is impractical except for "keeping otherwise unemployed graph theorists off the streets." It is the second half of the book that differentiates itself from older operating systems texts. Here, each chapter describes an element of what constitutes a modern operating system--awareness of multimedia applications, multiple processors, computer networks, and a high level of security. The chapter on multimedia functionality focuses on such features as handling massive files and providing video-on-demand. Included in the discussion on multiprocessor platforms are clustered computers and distributed computing. Finally, the importance of security is discussed--a lively enumeration of the scores of ways operating systems can be vulnerable to attack, from password security to computer viruses and Internet worms. Included at the end of the book are case studies of two popular operating systems: Unix/Linux and Windows 2000. There is a bias toward the Unix/Linux approach, not surprising given the author's experience and academic bent, but this bias does not detract from Tanenbaum's analysis. Both operating systems are dissected, describing how each implements processes, file systems, memory management, and other operating system fundamentals. Tanenbaum's mantra is simple, accessible operating system design. Given that modern operating systems have extensive features, he is forced to reconcile physical size with simplicity. Toward this end, he makes frequent references to the Frederick Brooks classic The Mythical Man-Month for wisdom on managing large, complex software development projects. He finds both Windows 2000 and Unix/Linux guilty of being too complicated--with a particular skewering of Windows 2000 and its "mammoth Win32 API." A primary culprit is the attempt to make operating systems more "user-friendly," which Tanenbaum views as an excuse for bloated code. The solution is to have smart people, the smallest possible team, and well-defined interactions between various operating systems components. Future operating system design will benefit if the advice in this book is taken to heart. --Pete Ostenson

    It is a book that models the types of issues that best suit different approaches and allows students to understand when to use mixed methods. Furthermore, its focus on theory and paradigms is done in a way that helps students decode their meaning." --MARTHA MONTERO-SIEBURTH, University of Massachusetts, BostonNew to the Second Edition:Because mixed methods research has come into its own since the publication of the first edition, every chapter now shows how to implement a mixed methods design in your proposal or plan as well as showing how to implement qualitative and quantitative approaches Ethical issues that may arise in quantitative, qualitative and mixed methods designs have been added to a new section in Chapter 3 Writing tips and considerations have been expanded and moved to the first part of the book to get your research plan started in the right direction The latest developments in qualitative inquiry, including advocacy, participatory, and emancipatory approaches have been added to Chapter 10 Mixed methods procedures (Chapter 11) show readers how to identify types of mixed methods strategy, select data collection and analysis approaches, and plan the overall structure of the study

    According to Neil Gershenfeld, the renowned MIT scientist and inventor, the next big thing is personal fabrication–the ability to design and produce your own products, in your own home, with a machine that combines consumer electronics with industrial tools. Personal fabricators (PF’s) are about to revolutionize the world just as personal computers did a generation ago. PF’s will bring the programmability of the digital world to the rest of the world, by being able to make almost anything-including new personal fabricators. In FAB, Gershenfeld describes how personal fabrication is possible today, and how it is meeting local needs with locally developed solutions. He and his colleagues have created “fab labs” around the world, which, in his words, can be interpreted to mean “a lab for fabrication, or simply a fabulous laboratory.” Using the machines in one of these labs, children in inner-city Boston have made saleable jewelry from scrap material. Villagers in India used their lab to develop devices for monitoring food safety and agricultural engine efficiency. Herders in the Lyngen Alps of northern Norway are developing wireless networks and animal tags so that their data can be as nomadic as their animals. And students at MIT have made everything from a defensive dress that protects its wearer’s personal space to an alarm clock that must be wrestled into silence. These experiments are the vanguard of a new science and a new era-an era of “post-digital literacy” in which we will be as familiar with digital fabrication as we are with the of information processing. In this groundbreaking book, the scientist pioneering the revolution in personal fabrication reveals exactly what is being done, and how. The technology of FAB will allow people to create the objects they desire, and the kind of world they want to live in.

    People used to download music for free, then Steve Jobs convinced them to pay. How? By charging 99 cents. That price has a hypnotic effect: the profit margin of the 99 Cents Only store is twice that of Wal-Mart. Why do text messages cost money, while e-mails are free? Why do jars of peanut butter keep getting smaller in order to keep the price the “same”? The answer is simple: prices are a collective hallucination. In Priceless, the bestselling author William Poundstone reveals the hidden psychology of value. In psychological experiments, people are unable to estimate “fair” prices accurately and are strongly influenced by the unconscious, irrational, and politically incorrect. It hasn’t taken long for marketers to apply these findings. “Price consultants” advise retailers on how to convince consumers to pay more for less, and negotiation coaches offer similar advice for businesspeople cutting deals. The new psychology of price dictates the design of price tags, menus, rebates, “sale” ads, cell phone plans, supermarket aisles, real estate offers, wage packages, tort demands, and corporate buyouts. Prices are the most pervasive hidden persuaders of all. Rooted in the emerging field of behavioral decision theory, Priceless should prove indispensable to anyone who negotiates.

    She brings her exhaustive knowledge to this groundbreaking manual that covers everything you need to know about the process, including:• The best piercings and placements for various body parts and body types• Terminology, tools, and techniques of the trade• Vital sterility, sanitation, and hygiene information • Jewelry designs, shapes, and materials• Advice for people with stretch marks, plastic surgery, and unique anatomy• Healing, aftercare, and troubleshooting for problem-free piercing"As a piercer, nurse, and educator, I can say without a doubt that this is the most complete book ever written for all people in our industry."--DAVID A. VIDRA, FOUNDER AND PRESIDENT OF HEALTH EDUCATORS, INC."No one is more qualified to write this book than Elayne Angel. With more than three decades of personal experience to her credit, no one knows the subject better."--JIM WARD, FOUNDER OF GAUNTLET, THE WORLD'S FIRST BODY PIERCING STUDIO"This is an exciting book for a field that has exploded in the last two decades. National industry standards are needed, and Elayne provides important data."--MYRNA L. ARMSTRONG, RN, EdD

    Weaving storytelling with masses of new and updated research, Richard Florida traces the fundamental theme that runs through a host of seemingly unrelated changes in American society: the growing role of creativity in our economy. Just as William Whyte's 1956 classic The Organization Man showed how the organizational ethos of that age permeated every aspect of life, Florida describes a society in which the creative ethos is increasingly dominant. Millions of us are beginning to work and live much as creative types like artists and scientists always have-with the result that our values and tastes, our personal relationships, our choices of where to live, and even our sense and use of time are changing. Leading the shift are the nearly 38 million Americans in many diverse fields who create for a living-the Creative Class. The Rise of the Creative Class chronicles the ongoing sea of change in people's choices and attitudes, and shows not only what's happening but also how it stems from a fundamental economic change. The Creative Class now comprises more than thirty percent of the entire workforce. Their choices have already had a huge economic impact. In the future they will determine how the workplace is organized, what companies will prosper or go bankrupt, and even which cities will thrive or wither.