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  • Big Data

    Does Size Matter?

    What is Big Data, and why should you care?Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it claims.But how well do you know big data?You've probably seen the phrase in newspaper ... Leer más

    $15.99 USD

  • Audiolibro

    Big Data

    Does Size Matter?

    Narrado por Timandra Harkness ...

    Completo

    9 hora 46 minutos

    Bloomsbury presents Big Data: Does Size Matter?, written and read by Timandra HarknessWhat is Big Data, and why should you care?Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it ... Leer más

    $18.00 USD

  • Audiolibro

    How to Disagree

    A beginner's guide to having better arguments

    Narrado por Timandra Harkness ...

    Completo

    1 horas 8 minutos

    We seem to have forgotten how to argue about important things without descending into tribalism, insults, and generally thinking the worst of our opponents. This is no good. We'll never get out of the bitter divisions cleaving society if we don't learn to disagree fruitfully.In this series, Timandra Harkness explores the best ways to disagree with other people - constructively.She examines how ... Leer más

    $6.99 USD

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    This fundamental monograph introduces both the probabilistic and algebraic aspects of information theory and coding. It has evolved from the authors' years of experience teaching at the undergraduate level, including several Cambridge Maths Tripos courses. The book provides relevant background material, a wide range of worked examples and clear solutions to problems from real exam papers. It is a ... Leer más

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  • Scheduling

    Theory, Algorithms, and Systems

    Series series Mathematics and Statistics (R0)
    This new edition provides an up-to-date coverage of important theoretical models in the scheduling literature as well as significant scheduling problems that occur in the real world. It again includes supplementary material in the form of slide-shows from industry and movies that show implementations of scheduling systems.The main structure of the book as per previous edition consists of three ... Leer más

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  • Analysis of Longitudinal Data

    Series Libro 25 - Oxford Statistical Science Series
    The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear ... Leer más

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  • Simulation-Based Algorithms for Markov Decision Processes

    Series series Engineering (R0)
    Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the ... Leer más

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  • Analysis of Multivariate and High-Dimensional Data

    de Inge Koch ...
    Series Libro 32 - Cambridge Series in Statistical and Probabilistic Mathematics
    'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical framework includes formal statements that set out clearly the guaranteed 'safe ... Leer más

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  • General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions

    de Xu Zhang, Qi Lü ...
    Series series Mathematics and Statistics (R0)
    The classical Pontryagin maximum principle (addressed to deterministic finite dimensional control systems) is one of the three milestones in modern control theory. The corresponding theory is by now well-developed in the deterministic infinite dimensional setting and for the stochastic differential equations. However, very little is known about the same problem but for controlled stochastic ... Leer más

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  • Math for the Digital Factory

    Series series Mathematics and Statistics (R0)
    This volume provides a unique collection of mathematical tools and industrial case studies in digital manufacturing. It addresses various topics, ranging from models of single production technologies, production lines, logistics and workflows to models and optimization strategies for energy consumption in production.The digital factory represents a network of digital models and simulation and 3D ... Leer más

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  • Discrete–Time Stochastic Control and Dynamic Potential Games

    The Euler–Equation Approach

    Series series Mathematics and Statistics (R0)
    There are several techniques to study noncooperative dynamic games, such as dynamic programming and the maximum principle (also called the Lagrange method). It turns out, however, that one way to characterize dynamic potential games requires to analyze inverse optimal control problems, and it is here where the Euler equation approach comes in because it is particularly well–suited to solve inverse ... Leer más

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  • Probabilistic Cellular Automata

    Theory, Applications and Future Perspectives

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    This book explores Probabilistic Cellular Automata (PCA) from the perspectives of statistical mechanics, probability theory, computational biology and computer science. PCA are extensions of the well-known Cellular Automata models of complex systems, characterized by random updating rules. Thanks to their probabilistic component, PCA offer flexible computing tools for complex numerical ... Leer más

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