Fortunately, Jon McGee is an ideal guide through this dynamic marketplace. In Breakpoint, he argues that higher education is in the midst of an extraordinary moment of demographic, economic, and cultural transition that has significant implications for how colleges understand their mission, their market, and their management. Drawing from an extensive assessment of demographic and economic trends, McGee presents a broad and integrative picture of these changes while stressing the importance of decisive campus leadership. He describes the key forces that influence higher education and provides a framework from which trustees, presidents, administrators, faculty, and policy makers can address pressing issues in the aftermath of the Great Recession.Although McGee avoids endorsing one-size-fits-all solutions, he suggests a number of concrete strategies for handling prospective students and developing pedagogical practices, curricular content and delivery, and management structures. Practical and compelling, Breakpoint will help higher education leaders make choices that advance their institutional values and serve their students and the common good for generations to come.

    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    It has balanced coverage of both theory and application and strong emphasis on culture.

    It has sold 30,000 copies in each edition and will continue to reach a huge academic audience.In this renowned book, Everett M. Rogers, professor and chair of the Department of Communication & Journalism at the University of New Mexico, explains how new ideas spread via communication channels over time. Such innovations are initially perceived as uncertain and even risky. To overcome this uncertainty, most people seek out others like themselves who have already adopted the new idea. Thus the diffusion process consists of a few individuals who first adopt an innovation, then spread the word among their circle of acquaintances--a process which typically takes months or years. But there are exceptions: use of the Internet in the 1990s, for example, may have spread more rapidly than any other innovation in the history of humankind. Furthermore, the Internet is changing the very nature of diffusion by decreasing the importance of physical distance between people. The fifth edition addresses the spread of the Internet, and how it has transformed the way human beings communicate and adopt new ideas.

    The best-selling Mastering the World of Psychology speaks to students in a direct and accessible manner. The author's voice and writing style, combined with a strong pedagogical framework, support students of diverse backgrounds and educational needs. The book relates essential key concepts in a way that is meaningful to students' lives and careers. No introductory psychology textbook does more to help students get better grades than Mastering the World of Psychology.

    While proposing a phenomenological approach to in-depth interviewing, the author also includes principles and methods that can be adapted to a range of interviewing approaches. Using concrete examples of interviewing techniques to illustrate the issues under discussion, this classic text helps readers to understand the complexities of interviewing and its connections to broader issues of qualitative research.

    Information is provided on the fundamental concepts of table and graph design, the numbers and knowledge most suitable for display in a graphic form, the best tabular means to communicate certain ideas, and the component-level aspects of design. Analysts, technicians, and managers will appreciate the solid theory behind this outline for ensuring that tables and graphs present quantitative business information in a truthful, attractive format that facilitates better decision making.

    With boundless erudition and in delightfully clear prose, Surowiecki ranges across fields as diverse as popular culture, psychology, ant biology, behavioral economics, artificial intelligence, military history, and politics to show how this simple idea offers important lessons for how we live our lives, select our leaders, run our companies, and think about our world.

    Theoretical, yet applied. Statistics for Business and Economics, Eleventh Edition, gives you the best of both worlds. Using a rich array of applications from a variety of industries, McClave/Sincich/Benson clearly demonstrates how to use statistics effectively in a business environment.The book focuses on developing statistical thinking so the reader can better assess the credibility and value of inferences made from data. As consumers and future producers of statistical inferences, readers are introduced to a wide variety of data collection and analysis techniques to help them evaluate data and make informed business decisions. As with previous editions, this revision offers an abundance of applications with many new and updated exercises that draw on real business situations and recent economic events. The authors assume a background of basic algebra.

    His students, some of the nation’s brightest minds, were adrift when it came to the big questions: how to think critically and creatively, and how to find a sense of purpose.Excellent Sheep takes a sharp look at the high-pressure conveyor belt that begins with parents and counselors who demand perfect grades and culminates in the skewed applications Deresiewicz saw firsthand as a member of Yale’s admissions committee. As schools shift focus from the humanities to "practical" subjects like economics and computer science, students are losing the ability to think in innovative ways. Deresiewicz explains how college should be a time for self-discovery, when students can establish their own values and measures of success, so they can forge their own path. He addresses parents, students, educators, and anyone who's interested in the direction of American society, featuring quotes from real students and graduates he has corresponded with over the years, candidly exposing where the system is broken and clearly presenting solutions.

    The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http: //www.stat.columbia.edu/ gelman/arm/

    Written specifically for students with no previous experience of research and research methodology, the writing style is simple and clear and the author presents this complex subject in a straightforward way that empowers readers to tackle research with confidence. The book has been revised and updated to include extended coverage of qualitative research methods in addition to existing comprehensive coverage of quantitative methods. There are also brand new learning features such as reflective questions throughout the text to help students consolidate their knowledge.

    Readers will see how the choice of topic influences question wording and how the questions asked influence the analysis. The authors have improved the presentation of matters that students have most trouble with, such as finding an interesting and viable topic, recognizing concepts, learning when and how aggressively to follow up, and figuring out ways to get published.

    The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. This edition places more emphasis on conceptual understanding and understanding results. This edition also features increased emphasis on Excel, MINITAB, and the TI-83 Plus and TI 84-Plus graphing calculators, computing technologies commonly used in such courses.