Best-selling novelists J. K. Rowling and Dan Brown, popular historians Doris Kearns Goodwin and Stephen Ambrose, Harvard law professor Charles Ogletree, first novelist Kaavya Viswanathan: all have rightly or wrongly been accused of plagiarism–theft of intellectual property–provoking widespread media punditry. But what exactly is plagiarism? How has the meaning of this notoriously ambiguous term changed over time as a consequence of historical and cultural transformations? Is the practice on the rise, or just more easily detectable by technological advances? How does the current market for expressive goods inform our own understanding of plagiarism? Is there really such a thing as “cryptomnesia,” the unconscious, unintentional appropriation of another’s work? What are the mysterious motives and curious excuses of plagiarists? What forms of punishment and absolution does this “sin” elicit? What is the good in certain types of plagiarism?Provocative, insightful, and extraordinary for its clarity and forthrightness, The Little Book of Plagiarism is an analytical tour de force in small, the work of “one of the top twenty legal thinkers in America” (Legal Affairs), a distinguished jurist renowned for his adventuresome intellect and daring iconoclasm.

    So while the focus is on design, the approach is holistic. Hence, the book speaks to designers, usability specialists, the HCI community, product managers, and business executives. There is an emphasis on balancing the back-end concern with usability and engineering excellence (getting the design right) with an up-front investment in sketching and ideation (getting the right design). Overall, the objective is to build the notion of informed design: molding emerging technology into a form that serves our society and reflects its values.Grounded in both practice and scientific research, Bill Buxton s engaging work aims to spark the imagination while encouraging the use of new techniques, breathing new life into user experience design. Covers sketching and early prototyping design methods suitable for dynamic product capabilities: cell phones that communicate with each other and other embedded systems, "smart" appliances, and things you only imagine in your dreamsThorough coverage of the design sketching method which helps easily build experience prototypes-without the effort of engineering prototypes which are difficult to abandonReaches out to a range of designers, including user interface designers, industrial designers, software engineers, usability engineers, product managers, and othersFull of case studies, examples, exercises, and projects, and access to video clips that demonstrate the principles and methods"

    A daily tool of the trade for specialists. Handbook of Usability Testing gives you practical, step-by-step guidelines in plain English. Written by Jeffrey Rubin, it arms beginners with the full complement of proven testing tools and techniques. From software, GUIs, and technical documentation, to medical instruments, VCRs, and exercise bikes, no matter what your product, you'll learn to design and administer extremely reliable tests to ensure that people find it easy and desirable to use. * Requires no engineering or human factors training * A rigorous, step-by-step approach--with an eye to common gaffes and pitfalls--saves you months of trial and error * Liberally peppered with real-life examples and case histories taken from a wide range of industries * Packed with extremely usable templates, models, tables, test plans, and other indispensable tools of the trade

    For eight editions, it has been known for its thorough coverage, student-friendly tone, model interior design, and abundant samples of the techniques and guidelines discussed throughout the book. As always, Mike Markel keeps pace with current technologies and the realities of technical communication today.

    Observing the User Experience will help you bridge that gap to understand what your users want and need from your product, and whether they'll be able to use what you've created.Filled with real-world experience and a wealth of practical information, this book presents a complete toolbox of techniques to help designers and developers see through the eyes of their users. It provides in-depth coverage of 13 user experience research techniques that will provide a basis for developing better products, whether they're Web, software or mobile based. In addition, it's written with an understanding of how software is developed in the real world, taking tight budgets, short schedules, and existing processes into account.

    Combining practical, theoretical, and historical, this book is a must for graphic artists, editors, or anyone working with the printed page using digital or traditional methods.Having established itself as a standard in its field The Elements of Typographic Style is house manual at most American university presses, a standard university text, and a reference work in studios of designers around the world. It has been translated into italian and greek, and dutch.

    Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    Written in easy to read language, and packed with practical, easily applied tips, this eBook contains everything you need to know to take great notes.To make sure you get the most value for money possible I've also included the FREE eBook: "How to Study: 20 Tips". It contains my best best advice on time management, goal setting and how to get the best grades with the least effort. It's advice that also transfers brilliantly well to professionals, the self employed and anyone working toward mastery of a given field.

    It breaks down the 5 stages of the service lifecycle into digestible chunks, helping you to ensure that customers receive the best possible IT experience. Whether readers need to identify their customers' needs, design and implement a new IT service, or monitor and improve an existing service, this official guide provides a support framework for IT-related activities and the interactions of IT technical personnel with business customers and users.Understanding how ITIL can help you Getting to grips with ITIL processes and the service lifecycle Implementing ITIL into your day to day work Learn key skills in planning and carrying out design and implementation projects

    Some are arcane, some simply hilarious—and one editor, Carol Fisher Saller, reads every single one of them. All too often she notes a classic author-editor standoff, wherein both parties refuse to compromise on the "rights" and "wrongs" of prose styling: "This author is giving me a fit." "I wish that I could just DEMAND the use of the serial comma at all times." "My author wants his preface to come at the end of the book. This just seems ridiculous to me. I mean, it’s not a post-face."In The Subversive Copy Editor, Saller casts aside this adversarial view and suggests new strategies for keeping the peace. Emphasizing habits of carefulness, transparency, and flexibility, she shows copy editors how to build an environment of trust and cooperation. One chapter takes on the difficult author; another speaks to writers themselves. Throughout, the focus is on serving the reader, even if it means breaking "rules" along the way. Saller’s own foibles and misadventures provide ample material: "I mess up all the time," she confesses. "It’s how I know things."Writers, Saller acknowledges, are only half the challenge, as copy editors can also make trouble for themselves. (Does any other book have an index entry that says "terrorists. See copy editors"?) The book includes helpful sections on e-mail etiquette, work-flow management, prioritizing, and organizing computer files. One chapter even addresses the special concerns of freelance editors.Saller’s emphasis on negotiation and flexibility will surprise many copy editors who have absorbed, along with the dos and don’ts of their stylebooks, an attitude that their way is the right way. In encouraging copy editors to banish their ignorance and disorganization, insecurities and compulsions, the Chicago Q&A presents itself as a kind of alter ego to the comparatively staid Manual of Style. In The Subversive Copy Editor, Saller continues her mission with audacity and good humor.

    A host of specialists have contributed to the collection. This new edition includes more detailed discussion of a wider range of reference-related services including interlibrary loan, document delivery, and readers' advisory services. There is also increased attention to ethical issues and a stronger focus on user-centered services, both face-to-face and mediated by technology. In addition, the authors discuss Web sites of significant value to reference services and the impact of the Internet and World Wide Web on reference services. This carefully designed and readable text explains the essential theory and provides the practical knowledge necessary for an initial reference course. Its broad scope and organizational clarity will benefit students and practitioners.

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Through memorable visuals and honest talk, John Ruszkiewicz shows students how to write in any situation — wherever they are in their writing process.With everything you need to teach composition, the Guide lays out focused advice for writing common genres, while the Reference covers the range of writing and research skills that students need as they work across genres and disciplines. An intuitive, visual cross-referencing system and a modular chapter organization that’s simple to follow make it even easier for students to work back and forth between chapters and stay focused on their own writing.