Carl Edwards
Carl Edwards
The Tastemaker: Carl Van Vechten and the Birth of Modern America
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A revealing biography of the influential and controversial cultural titan who embodied an eraThe Tastemaker explores the many lives of Carl Van Vechten, the most influential cultural impresario of the early twentieth century: a patron and dealmaker of the Harlem Renaissance, a photographer who captured the era's icons, and a novelist who created some of the Jazz Age's most salacious stories. A close confidant of Langston Hughes, Gertrude Stein, George Gershwin, F. Scott Fitzgerald, and the Knopfs, Van Vechten frolicked in the 1920s Manhattan demimonde, finding himself in Harlem's jazz clubs, Hell's Kitchen's speakeasies, and Greenwich Village's underground gay scene. New York City was a hotbed of vice as well as creativity, and Van Vechten was at the center of it all.Edward White's biography—the first comprehensive biography of Carl Van Vechten in nearly half a century, and the first to fully explore Van Vechten's tangled relationship to race and sexuality—depicts a controversial figure who defined an age. Embodying many of the contradictions of modern America, Van Vechten was a devoted husband with a coterie of boys by his side, a supporter of difficult art who also loved lowbrow entertainment, and a promoter of the Harlem Renaissance whose bestselling novel—and especially its title—infuriated many of the same African-American artists he championed. Van Vechten's defense of what many Americans considered bad taste—modernist literature, African-American culture, and sexual self-expression—created a popular appetite for these quintessential elements of American art. The Tastemaker encompasses its subject's private fears and longings, as well as Manhattan's raucous, taboo-busting social scene of which he was such a central part. It is a remarkable portrait of a man whose brave journeys across boundaries of race, sexuality, and taste helped make America fully modern.
 
Carl Edwards (Nascar Champions)
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Explores the life and racing career of NASCAR star Carl Edwards.
 
Carl Edwards 2014 Aflac 1:64 Nascar Diecast
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Carl Edwards will drive the #99 Aflac Ford Fusion for Roush Fenway Racing during the 2014 Sprint Cup season.
 
Carl Edwards: Nascar Driver (Behind the Wheel)
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Explores the life and racing career of NASCAR star Carl Edwards.
 
"Then Tony Said to Junior. . .": The Best NASCAR Stories Ever Told (Best Sports Stories Ever Told)
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Written for every NASCAR fan, this account goes behind the scenes to peek into the private world of the drivers, promoters, and decision makers—all while eavesdropping on their personal conversations. From high-speed thrills to colorful characters, the book includes stories from Bobby Allison, Donnie Allison, Dale Earnhardt Jr., Jeff Gordon, and Buz McKim, among others, allowing readers to relive highlights, celebrations, and other memorable moments.
 
Aion Lectures: Exploring the Self in C. G. Jung's Aion (Studies in Jungian Psychology by Jungian Analysts)
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In Aion Carl Jung attempted to demonstrate how the Self as God-image revealed itself through the course of Christian history. In this lecture Edward Edinger t,ride to make Aion more accessible.
 
NASCAR 2017 Drivers Schedule Racing T-Shirt (#19 Carl Edwards, Large)
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This officially NASCAR licensed Apparel 2017 schedule #19 Carl Edwards shirt Looks great for the NASCAR race or any occasion. Wear this shirt to show your fan appreciation for your driver.
 
Techniques of Neurolysis
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Written and edited by the foremost practitioners of neurolysis, this completely revised and updated second edition assembles the current methods of neurolytic procedures into a single volume.  The book explains in great detail trigeminal and radiofrequency techniques, facet joint denervation, cryoneurolysis and lumbosacral, thoracic and cervial neuroplasty. The new concept of the scarring triangle and treatment that may prevent surgical failures is proposed. Neuroaugmentation and complimentary procedures are also covered.  Indications, contraindications, and complications of these treatments are discussed along with outcomes on some of the case studies featured in the first edition.  Interventional pain physicians, as well as palliative pain physicians, neurosurgeons, and orthopedic spine surgeons, will find this text to be the definitive reference on neurolysis in clinical practice.
 
Carl Edwards Official NASCAR 20 inch Lanyard Key Chain Keychain by Wincraft
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Officially licensed Carl Edwards 3/4 inch wide lanyard with detachable buckle and key chain.
 
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series)
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A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.
 
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