Aaron Horne provides the most comprehensive guide to brass music written by black composers. He covers composers from around the world in the 19th and 20th centuries. Included in the book is biographical information; commission, duration, instrumentation, date of publication, premiere, publisher, discography for each piece; bibliographical sources; and an index which groups the music by numbers, medium, and ensemble. This is the fourth volume in Aaron Horne's monumental effort to provide the most comprehensive guide to music composed by black composers. In this volume he covers composers from around the world in the 19th and 20th centuries, including William Grant Still, Ulysses Kay, Anthony Davis, John Coltrane, and other major figures from the world of classical, jazz, and popular music. The main body of the book is divided into sections devoted to African, African American, Afro-European, and Afro-Latino composers. Within each section composers are arranged alphabetically; each entry provides biographical information as well as commission, duration, instrumentation, date of publication, premiere, publisher, discography for each composition. Backmatter includes a Brass Music Index which groups the music by numbers, medium, and ensembles; a title index; discography; and bibliography. As with the earlier volumes, this is an essential reference tool for anyone with an interest in researching and/or performing the music of black composers.
An original argument that environmental sustainability has been co-opted by the urban elite, along with examples from around the world of ways we can save our planet “Caring for the environment means reclaiming ecology for everyone.” —from the introduction A sustainability apartheid is emerging. More than ever, urban residents want to be green, yet to cater to their interests, a green-tech service economy has sprung up, co-opting well-intentioned concerns over sustainability to sell a resource-heavy and exclusive “lifestyle environmentalism.” This has made cities more unsustainable and inaccessible to the working class. The Sustainability Class is about those wealthy “progressive” urbanites convinced that we can save the planet through individual action, smart urbanism, green finance, and technological innovation. Authors Vijay Kolinjivadi and Aaron Vansintjan challenge many of the popular ideas about environmentalism, showing that it is actually the sustainability class itself that is unsustainable. The solutions they propose work to safeguard an elite minority, exclude billions of people, and ultimately hasten ecological breakdown, not reverse it. From Venice Beach, Los Angeles, to Neom in Saudi Arabia and beyond, the authors explore with biting humor how investors around the world are rushing to capitalize on going green. By contrast, real-world examples of movements for housing and food production, transport, and waste management demonstrate how ordinary people around the world are building a more ecological future by working together, against all odds. In doing so, they show us how sustainability can be reclaimed for everyone. Sustainability isn’t about vibes and superficial green facades. It’s about building people power to reimagine the world.
Writers on the Left chronicles the involvement of American writers with the progressive and radical movement from its bohemian origins in 1912 to its disillusionment and demise in the early 1940s. Aaron creates a perceptive and often poignant portrait of writers such as Max Eastman and Floyd Dell, who tried to wed the seemingly conflicting impulses behind the need for uninhibited artistic expression and to abolish the inequalities of class and race.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. 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.
Cybersecurity is broken. Year after year, attackers remain unchallenged and undeterred, while engineering teams feel pressure to design, build, and operate "secure" systems. Failure can't be prevented, mental models of systems are incomplete, and our digital world constantly evolves. How can we verify that our systems behave the way we expect? What can we do to improve our systems' resilience? In this comprehensive guide, authors Kelly Shortridge and Aaron Rinehart help you navigate the challenges of sustaining resilience in complex software systems by using the principles and practices of security chaos engineering. By preparing for adverse events, you can ensure they don't disrupt your ability to innovate, move quickly, and achieve your engineering and business goals. Learn how to design a modern security program Make informed decisions at each phase of software delivery to nurture resilience and adaptive capacity Understand the complex systems dynamics upon which resilience outcomes depend Navigate technical and organizational trade-offsthat distort decision making in systems Explore chaos experimentation to verify critical assumptions about software quality and security Learn how major enterprises leverage security chaos engineering
NOW A POWERFUL CORE OF AUTHORS PROVIDES CLEAR, COMPELLING, AND COMPREHENSIVE EVIDENCE AND ANSWERS FOR SOME OF THE MOST COMMON POINTS OF CONTENTION ON THIS ARGUMENT.
Reviews of The Gorehound's Guide to Splatter Films of the 1960s and 1970s: "recommended"--Booklist; "exhaustive...useful"--ARBA; "a solid reference work"--Video Watchdog; "bursting with information, opinion and trivia...impeccably researched"--Film Review; "interesting and informative"--Rue Morgue; "detailed credits...entertaining"--Classic Images. Author Scott Aaron Stine is back again, this time with an exhaustive study of splatter films of the 1980s. Following a brief overview of the genre, the main part of the book is a filmography. Each entry includes extensive technical information; cast and production credits; release date; running time; alternate and foreign release titles; comments on the availability of the film on videocassette and DVD; a plot synopsis; commentary from the author; and reviews. Extensive cross-referencing is also included. Heavily illustrated.
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