The Sounds of Early Cinema is devoted exclusively to a little-known, yet absolutely crucial phenomenon: the ubiquitous presence of sound in early cinema. "Silent cinema" may rarely have been silent, but the sheer diversity of sound(s) and sound/image relations characterizing the first 20 years of moving picture exhibition can still astonish us. Whether instrumental, vocal, or mechanical, sound ranged from the improvised to the pre-arranged (as in scripts, scores, and cue sheets). The practice of mixing sounds with images differed widely, depending on the venue (the nickelodeon in Chicago versus the summer Chautauqua in rural Iowa, the music hall in London or Paris versus the newest palace cinema in New York City) as well as on the historical moment (a single venue might change radically, and many times, from 1906 to 1910). Contributors include Richard Abel, Rick Altman, Edouard Arnoldy, Mats Björkin, Stephen Bottomore, Marta Braun, Jean Châteauvert, Ian Christie, Richard Crangle, Helen Day-Mayer, John Fullerton, Jane Gaines, André Gaudreault, Tom Gunning, François Jost, Charlie Keil, Jeff Klenotic, Germain Lacasse, Neil Lerner, Patrick Loughney, David Mayer, Domi-nique Nasta, Bernard Perron, Jacques Polet, Lauren Rabinovitz, Isabelle Raynauld, Herbert Reynolds, Gregory A. Waller, and Rashit M. Yangirov.

NATIONAL BESTSELLER • From the classroom to the courtroom and from financial markets to supermarkets, an intriguing and illuminating look at how randomness, chance, and probability affect our daily lives that will intrigue, awe, and inspire. “Mlodinow writes in a breezy style, interspersing probabilistic mind-benders with portraits of theorists.... The result is a readable crash course in randomness.” —The New York Times Book Review With the born storyteller's command of narrative and imaginative approach, Leonard Mlodinow vividly demonstrates how our lives are profoundly informed by chance and randomness and how everything from wine ratings and corporate success to school grades and political polls are less reliable than we believe. By showing us the true nature of chance and revealing the psychological illusions that cause us to misjudge the world around us, Mlodinow gives us the tools we need to make more informed decisions. From the classroom to the courtroom and from financial markets to supermarkets, Mlodinow's intriguing and illuminating look at how randomness, chance, and probability affect our daily lives will intrigue, awe, and inspire.

DATA ENGINEERING and DATA SCIENCE Written and edited by one of the most prolific and well-known experts in the field and his team, this exciting new volume is the “one-stop shop” for the concepts and applications of data science and engineering for data scientists across many industries. The field of data science is incredibly broad, encompassing everything from cleaning data to deploying predictive models. However, it is rare for any single data scientist to be working across the spectrum day to day. Data scientists usually focus on a few areas and are complemented by a team of other scientists and analysts. Data engineering is also a broad field, but any individual data engineer doesn’t need to know the whole spectrum of skills. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information. In this exciting new volume, the team of editors and contributors sketch the broad outlines of data engineering, then walk through more specific descriptions that illustrate specific data engineering roles. Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This book brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library.