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Author:
Publisher: Rex Bookstore, Inc.
ISBN: 9789712330810
Category :
Languages : en
Pages : 420
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Book Description
Author:
Publisher: Rex Bookstore, Inc.
ISBN: 9789712330810
Category :
Languages : en
Pages : 420
Get Book Here
Book Description
Author:
Publisher: Rex Bookstore, Inc.
ISBN: 9789712331015
Category :
Languages : en
Pages : 196
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Book Description
Author: Mape Ollila
Publisher: Bazillion Points Books
ISBN: 9780979616327
Category : Biography & Autobiography
Languages : en
Pages : 356
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Book Description
Hailing from the tiny hamlet of Kitee, Finland (pop. 10,000) Nightwish has captivated the world’s imagination with magical million-selling releases like Once, Century Child, and Wishmaster. Their saga is a heavy metal fable as dramatic and tumultuous as the band’s epic symphonic music. In these details and confessions, a vivid and painfully honest portrait of a musical dream emerges--and tensions swell as a split with original singer Tarja Turunen becomes inevitable. In this remarkably revealing official biography, author Mape Ollila charts the rise from village student project to global stardom, gaining unprecedented access not just to the members of Nightwish past and present; but also their families, their loyal and lewd crew, their peers, their critics, and countless other insiders from the Nightwish adventure. The book lays bare the creative firepower and personal demons of songwriter Tuomas Holopainen; the unique talents and traits of guitarist Emppu Vuorinen, drummer Jukka Nevalainen, and bassist Marco Hietala; and the true reasons behind the 2005 departure of vocalist Tarja Turunen--in the band’s words and hers. Along the way, the band struggles with religious protesters, fortune-tellers, naked crew members, health problems, shady promoters, out-of-control fans, and the growing pains of an ever-steeper rock star learning curve. Happily ever after or not, these unique Finnish personalities are brought to life in this journey of into the mysteries of...Once Upon a Nightwish.
Author:
Publisher: Rex Bookstore, Inc.
ISBN: 9789712322952
Category :
Languages : en
Pages : 308
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Book Description
Author: Radoslaw Katarzyniak
Publisher: Springer Science & Business Media
ISBN: 364203957X
Category : Computers
Languages : en
Pages : 347
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Book Description
Collective intelligence has become one of major research issues studied by today’s and future computer science. Computational collective intelligence is understood as this form of group intellectual activity that emerges from collaboration and compe- tion of many artificial individuals. Robotics, artificial intelligence, artificial cognition and group working try to create efficient models for collective intelligence in which it emerges from sets of actions carried out by more or less intelligent individuals. The major methodological, theoretical and practical aspects underlying computational collective intelligence are group decision making, collective action coordination, collective competition and knowledge description, transfer and integration. Obviously, the application of multiple computational technologies such as fuzzy systems, evo- tionary computation, neural systems, consensus theory, knowledge representation etc. is necessary to create new forms of computational collective intelligence and support existing ones. Three subfields of application of computational technologies to support forms of collective intelligence are of special attention to us. The first one is semantic web treated as an advanced tool that increases the collective intelligence in networking environments. The second one covers social networks modeling and analysis, where social networks are this area of in which various forms of computational collective intelligence emerges in a natural way. The third subfield relates us to agent and mul- agent systems understood as this computational and modeling paradigm which is especially tailored to capture the nature of computational collective intelligence in populations of autonomous individuals.
Author: Jacob Lurie
Publisher: Princeton University Press
ISBN: 1400830559
Category : Mathematics
Languages : en
Pages : 944
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Book Description
Higher category theory is generally regarded as technical and forbidding, but part of it is considerably more tractable: the theory of infinity-categories, higher categories in which all higher morphisms are assumed to be invertible. In Higher Topos Theory, Jacob Lurie presents the foundations of this theory, using the language of weak Kan complexes introduced by Boardman and Vogt, and shows how existing theorems in algebraic topology can be reformulated and generalized in the theory's new language. The result is a powerful theory with applications in many areas of mathematics. The book's first five chapters give an exposition of the theory of infinity-categories that emphasizes their role as a generalization of ordinary categories. Many of the fundamental ideas from classical category theory are generalized to the infinity-categorical setting, such as limits and colimits, adjoint functors, ind-objects and pro-objects, locally accessible and presentable categories, Grothendieck fibrations, presheaves, and Yoneda's lemma. A sixth chapter presents an infinity-categorical version of the theory of Grothendieck topoi, introducing the notion of an infinity-topos, an infinity-category that resembles the infinity-category of topological spaces in the sense that it satisfies certain axioms that codify some of the basic principles of algebraic topology. A seventh and final chapter presents applications that illustrate connections between the theory of higher topoi and ideas from classical topology.
Author: Michael Gilliland
Publisher: John Wiley & Sons
ISBN: 1119782473
Category : Business & Economics
Languages : en
Pages : 435
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Book Description
Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.
Author: John C. Brocklebank, Ph.D.
Publisher: SAS Institute
ISBN: 1629605441
Category : Computers
Languages : en
Pages : 616
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Book Description
To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users—such as statisticians, economists, and data scientists—can now match the most sophisticated forecasting methods to the most current SAS applications. Starting with fundamentals, this new edition presents methods for modeling both univariate and multivariate data taken over time. From the well-known ARIMA models to unobserved components, methods that span the range from simple to complex are discussed and illustrated. Many of the newer methods are variations on the basic ARIMA structures. Completely updated, this new edition includes fresh, interesting business situations and data sets, and new sections on these up-to-date statistical methods: ARIMA models Vector autoregressive models Exponential smoothing models Unobserved component and state-space models Seasonal adjustment Spectral analysis Focusing on application, this guide teaches a wide range of forecasting techniques by example. The examples provide the statistical underpinnings necessary to put the methods into practice. The following up-to-date SAS applications are covered in this edition: The ARIMA procedure The AUTOREG procedure The VARMAX procedure The ESM procedure The UCM and SSM procedures The X13 procedure The SPECTRA procedure SAS Forecast Studio Each SAS application is presented with explanation of its strengths, weaknesses, and best uses. Even users of automated forecasting systems will benefit from this knowledge of what is done and why. Moreover, the accompanying examples can serve as templates that you easily adjust to fit your specific forecasting needs. This book is part of the SAS Press program.
Author: John B. Holbein
Publisher: Cambridge University Press
ISBN: 1108488420
Category : Political Science
Languages : en
Pages : 283
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Book Description
The solution to youth voter turnout requires focus on helping young people follow through on their political interests and intentions.
Author: Mehdi Khosrow-Pour
Publisher: IGI Global Snippet
ISBN: 9781605660264
Category : Computers
Languages : en
Pages : 4292
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Book Description
"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.
