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Are you prepared to master the DP-100 exam and elevate your career in data science on Azure?

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"Violent scenes in American fiction are not only brutal, bleak, and gratuitous," writes Michael Kowalewski. "They are also, by turns, comic, witty, poignant, and sometimes, strangely enough, even terrifyingly beautiful." In this fascinating tour of American fiction, Kowalewski examines incidents ranging from scalpings and torture in The Deerslayer to fish feeding off human viscera in To Have and Have Not, to show how highly charged descriptive passages bear on major issues concerning a writer's craft. Instead of focusing on violence as a socio-cultural phenomenon, he explores how writers including Cooper, Poe, Crane, Hemingway, Faulkner, Wright, Flannery O'Connor, and Pynchon draw on violence in the realistic imagining of their works and how their respective styles sustain or counteract this imagining.

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2007 | 296 Pages | ISBN: 1846289068 | PDF | 9 MB
"Data-Driven 3D Facial Animation" systematically describes the emerging data-driven techniques developed over the last ten years or so. Although data-driven 3D facial animation is used more and more in animation practice, to date there have been very few books that specifically address the techniques involved.Comprehensive in scope, the book covers not only traditional lip-sync (speech animation), but also expressive facial motion, facial gestures, facial modeling, editing and sketching, and facial animation transferring. It provides an up-to-date reference source for academic research and for professionals working in the facial animation field. An edited volume, the book brings together contributions from leading researchers and practitioners working in both academia and in the leading animation studios.

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2007 | 484 Pages | ISBN: 3540745521 | PDF | 14 MB
Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount of information to be included in the decision-making process, the data to be processed become more and more complex in both structure and semantics. Consequently, the process of retrieval and knowledge discovery from this huge amount of heterogeneous complex data constitutes the reality check for research in the area. During the past few years, the International Conference on Data Warehousing and Knowledge Discovery (DaWaK) has become one of the most important international scientific events bringing together researchers, developers and practitioners. The DaWaK conferences served as a prominent forum for discussing latest research issues and experiences in developing and deploying data warehousing and knowledge d- covery systems, applications, and solutions. This year's conference, the Ninth Inter- tional Conference on Data Warehousing and Knowledge Discovery (DaWaK 2007), built on this tradition of facilitating the cross-disciplinary exchange of ideas, expe- ence and potential research directions. DaWaK 2007 sought to disseminate innovative principles, methods, algorithms and solutions to challenging problems faced in the development of data warehousing, knowledge discovery and data mining applications.