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Patrick Calhoun immigrated to America in 1733 from Ireland.
Much of today's communication is carried out through various kinds of humor, and we therefore need to be able to understand its many aspects. Here, two of the world's leading pioneers in humor studies, Alleen and Don Nilsen, explore how humor can be explained across the numerous sub-disciplines of linguistics. Drawing on examples from language play and jokes in a range of real-life contexts, such as art, business, marketing, comedy, creative writing, science, journalism and politics, the authors use their own theory of 'Features, functions and subjects of Humor' to analyze humor across all disciplines. Each highly accessible chapter uses a rich array of examples to stimulate discussion and interaction even in large classes. Supplemental PowerPoints to accompany each of the 25 chapters are available online, taking many of the insights from the chapters for further interactional discussions with students.
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.
"This book (in two volumes) seeks to collect in one place information that constitutes a guidebook to those settler families of the surname 'Frierson' found in South Carolina records from at least 1736 and the people descended through their male and female children."--General introduction, p. Intro-5.
Presents a history of Sullivan's Hollow, Mississippi, a place purportedly synonymous with lawlessness.