Think of the familiar map of the New York City subway system, or a diagram of the human brain. Successful visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding.This book examines the methods of two dozen visualization experts who approach their projects from a variety of perspectives -- as artists, designers, commentators, scientists, analysts, statisticians, and more. Together they demonstrate how visualization can help us make sense of the world.Explore the importance of storytelling with a simple visualization exerciseLearn how color conveys information that our brains recognize before we're fully aware of itDiscover how the books we buy and the people we associate with reveal clues to our deeper selvesRecognize a method to the madness of air travel with a visualization of civilian air trafficFind out how researchers investigate unknown phenomena, from initial sketches to published papers Contributors include:Nick Bilton, Michael E. Driscoll, Jonathan Feinberg, Danyel Fisher, Jessica Hagy, Gregor Hochmuth, Todd Holloway, Noah Iliinsky, Eddie Jabbour, Valdean Klump, Aaron Koblin, Robert Kosara, Valdis Krebs, JoAnn Kuchera-Morin et al., Andrew Odewahn, Adam Perer, Anders Persson, Maximilian Schich, Matthias Shapiro, Julie Steele, Moritz Stefaner, Jer Thorp, Fernanda Viegas, Martin Wattenberg, and Michael Young.

    The authors believe that an effective managerial economics book must go beyond the nuts and bolts of economic analysis to show how these economic analysis techniques are used by practicing managers.

    SOAR takes the Appreciative Inquiry philosophy and applies it to provide a strategic thinking and dialogue process. The authors have been instrumental in developing this process and will share the concept and case studies to give you the confidence to try SOAR.

    After a brief overview of current issues in the field, the book discusses crucial topics in the field, including the characteristics of gifted students, strategies for identification, considerations in planning sound gifted and talented programs, contemporary program models, varieties of acceleration, differentiated curriculum models, problems of underachievement of disadvantaged, twice-exceptional, and female gifted students, and the evaluation of gifted programs. The authors also address affective needs, leadership, and counseling. A chapter on parenting gifted children includes a section on advocating for gifted education and communication with schools. The sixth edition has been thoroughly revised, most notably with the latest research on acceleration, curriculum models, underachievement, culturally and economically disadvantaged students, gender issues, and dual exceptionalities. The content is further supported and enhanced by the inclusion of numerous practical strategies that can be implemented in the classroom, case studies that help teachers identify student needs, summaries of research on effective programs, emphasis on pedagogy and on social-emotional needs, heightened awareness of less visible sub-groups within gifted populations, and an amusing, witty writing style that adds to the appeal of this best-selling book.

    The book will teach you about:* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data* Deep learning, a powerful set of techniques for learning in neural networksNeural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning.

    This book provides an applications-oriented introduction to multivariate data analysis for the non-statistician, by focusing on the fundamental concepts that affect the use of specific techniques.

    Third World feminism" into the narrative in a way that thoroughly alters our perspective on contemporary culture and subjectivity.What Sandoval has identified is a language, a rhetoric of resistance to postmodern cultural conditions. U.S liberation movements of the post-World War II era generated specific modes of oppositional consciousness. Out of these emerged a new activity of consciousness and language Sandoval calls the "methodology of the oppressed". This methodology -- born of the strains of the cultural and identity struggles that currently mark global exchange -- holds out the possibility of a new historical moment, a new citizen-subject, and a new form of alliance consciousness and politics.Utilizing semiotics and U.S. Third World feminist criticism, Sandoval demonstrates how this methodology mobilizes love as a category of critical analysis. Rendering this approach in all its specifics, Methodology of the Oppressed gives rise to an alternative mode of criticism opening new perspectives on a theoretical, literary, aesthetic, social movement, or psychic expression.

    In this new volume, she brings together her thinking on the protection of biodiversity, the implications of biotechnology, and the consequences for agriculture of the global pre-eminence of Western-style scientific knowledge. In lucid and accessible fashion, she examines the current threats to the planet's biodiversity and the environmental and human consequences of its erosion and replacement by monocultural production. She shows how the new Biodiversity Convention has been gravely undermined by a mixture of diplomatic dilution during the process of negotiation and Northern hi-tech interests making money out of the new biotechnologies. She explains what these technologies involve and gives examples of their impact in practice. She questions their claims to improving natural species for the good of all and highlights the ethical and environmental problems posed. Underlying her arguments is the view that the North's particular approach to scientific understanding has led to a system of monoculture in agriculture - a model that is not being foisted on the South, displacing its societies' ecologically sounder, indigenous and age-old experiences of truly sustainable food cultivation, forest management and animal husbandry. This rapidly accelerating process of technology and system transfer is impoverishing huge numbers of people, disrupting the social systems that provide them with security and dignity, and will ultimately result in a sterile planet in both North and South, In a policy intervention of potentially great significance, she calls instead for a halt, at international as well as local level, to the aid and market incentives to both large-scale destruction of habitats where biodiversity thrives and the introduction of centralised, homogenous systems of cultivation.

    Badham’s list of “12 Questions You Must Ask Before Stepping On Set” is an absolute must in any filmmaker’s toolbox. Whether actor, director, cinematographer, production designer, or any other creative, Badham gives you the tools to deconstruct and solve scenes that either don’t work or need sharpening. Continuing the work begun in his best-selling book I’ll Be In My Trailer, Badham shares more insights into working with difficult actors, rehearsal techniques, and getting the best performance from your cast.

    Select a topic for entirely strategic reasons. Choose the coolest supervisor. Write only to deadlines. Expect people to hold your hand. Become “that” student. When it comes to a masters or PhD program, most graduate students don’t deliberately set out to  fail. Yet, of the nearly 500,000 people who start a graduate program each year, up to half will never complete their degree. Books abound on acing the admissions process, but there is little on what to do once the acceptance letter arrives. Veteran graduate directors Kevin D. Haggerty and Aaron Doyle have set out to demystify the world of advanced education. Taking a wry, frank approach, they explain the common mistakes that can trip up a new graduate student and lay out practical advice about how to avoid the pitfalls. Along the way they relate stories from their decades of mentorship and even share some slip-ups from their own grad experiences. The litany of foul-ups is organized by theme and covers the grad school experience from beginning to end: selecting the university and program, interacting with advisors and fellow students, balancing personal and scholarly lives, navigating a thesis, and creating a life after academia. Although the tone is engagingly tongue-in-cheek, the lessons are crucial to anyone attending or contemplating grad school. 57 Ways to Screw Up in Grad School allows you to learn from others’ mistakes rather than making them yourself.

    Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more. How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing". Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you'll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you:The seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details Several example projects with the code to make them work Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set The book does not provide ready-made "visualizations" that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you'll learn how each visualization conveys the unique properties of the data it represents -- why the data was collected, what's interesting about it, and what stories it can tell. Visualizing Data teaches you how to answer questions, not simply display information.

    In The Discovery of Grounded Theory, Barney Glaser and Anselm Strauss address the equally Important enterprise of how the discovery of theory from data--systematically obtained and analyzed in social research--can be furthered. The discovery of theory from data--grounded theory--is a major task confronting sociology, for such a theory fits empirical situations, and is understandable to sociologists and laymen alike. Most important, it provides relevant predictions, explanations, interpretations, and applications.In Part I of the book, "Generation Theory by Comparative Analysis," the authors present a strategy whereby sociologists can facilitate the discovery of grounded theory, both substantive and formal. This strategy involves the systematic choice and study of several comparison groups. In Part II, The Flexible Use of Data," the generation of theory from qualitative, especially documentary, and quantitative data Is considered. In Part III, "Implications of Grounded Theory," Glaser and Strauss examine the credibility of grounded theory.The Discovery of Grounded Theory is directed toward improving social scientists' capacity for generating theory that will be relevant to their research. While aimed primarily at sociologists, it will be useful to anyone Interested In studying social phenomena--political, educational, economic, industrial-- especially If their studies are based on qualitative data.

    Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. As the first book to provide a comprehensive coverage of the methodology and applications of the field, this study is both a reference book and a textbook.

    This title is aimed at courses in applied econometrics, political methodology, and sociological methods or a one-year graduate course in econometrics for social scientists.

    A series of dialogues between a novice and a master teacher and between a new and a seasoned principal demonstrate how framing--and then reframing--challenges brings clarity.