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Ohio State University brought us together, fused us, catalyzed us. In its shadow, we dwelt within the possibility that it promised. Tumultuous and passionate, tragic yet redemptive, this fearless memoir reveals the power of abiding love.
During the past decade there has been an explosion in computation and information technology. With it have 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. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. 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 co-developed much of the statistical modeling software and environment in R/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, projection pursuit and gradient boosting.
“Mine” is one of the first words babies learn, and by the time we grow up, the idea of ownership seems natural, whether we are buying a cup of coffee or a house. But who controls the space behind your airplane seat: you, reclining, or the squished laptop user behind you? Why is plagiarism wrong, but it’s okay to knock off a recipe or a dress design? And after a snowstorm, why does a chair in the street hold your parking space in Chicago, while in New York you lose both the space and the chair? In Mine!, Michael Heller and James Salzman, two of the world’s leading authorities on ownership, explain these puzzles and many more. Remarkably, they reveal, there are just six simple rules that everyone uses to claim everything. Owners choose the rule that steers us to do what they want. But we can pick differently. This is true not just for airplane seats, but also for battles over digital privacy, climate change, and wealth inequality. Mine! draws on mind-bending, often infuriating, and always fascinating accounts from business, history, courtrooms, and everyday life to reveal how the rules of ownership control our lives and shape our world.
Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.
Two common temptations lure us away from abundant living—withdrawing into safety or grasping for power. True flourishing, says Andy Crouch, travels down an unexpected path—being both strong and weak. Regardless of your stage or role in life, here is a way of love and risk so that we all, even the most vulnerable, can flourish.
A forceful reckoning with the relationship between energy and power through the history of what was once East Asia’s largest coal mine. The coal-mining town of Fushun in China’s Northeast is home to a monstrous open pit. First excavated in the early twentieth century, this pit grew like a widening maw over the ensuing decades, as various Chinese and Japanese states endeavored to unearth Fushun’s purportedly “inexhaustible” carbon resources. Today, the depleted mine that remains is a wondrous and terrifying monument to fantasies of a fossil-fueled future and the technologies mobilized in attempts to turn those developmentalist dreams into reality. In Carbon Technocracy, Victor Seow uses the remarkable story of the Fushun colliery to chart how the fossil fuel economy emerged in tandem with the rise of the modern technocratic state. Taking coal as an essential feedstock of national wealth and power, Chinese and Japanese bureaucrats, engineers, and industrialists deployed new technologies like open-pit mining and hydraulic stowage in pursuit of intensive energy extraction. But as much as these mine operators idealized the might of fossil fuel–driven machines, their extractive efforts nevertheless relied heavily on the human labor that those devices were expected to displace. Under the carbon energy regime, countless workers here and elsewhere would be subjected to invasive techniques of labor control, ever-escalating output targets, and the dangers of an increasingly exploited earth. Although Fushun is no longer the coal capital it once was, the pattern of aggressive fossil-fueled development that led to its ascent endures. As we confront a planetary crisis precipitated by our extravagant consumption of carbon, it holds urgent lessons. This is a groundbreaking exploration of how the mutual production of energy and power came to define industrial modernity and the wider world that carbon made.
"Andersen's story is the Horatio Alger myth made real, but his life is about much more than money and politics. He believes in public service, in democracy, and in striving to meet the needs of all citizens, especially those in the worst circumstances. Andersen's strong faith and values resonate from the first page of this autobiography. His writing is honest, personable, straightforward, portraying both the personal rigor and thoughtfulness of his business and newspaper careers." -St. Paul Pioneer Press