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  • Adversarial Reasoning

    Computational Approaches to Reading the Opponent’s Mind

    Collections series Chapman & Hall/CRC Computer and Information Science Series
    The rising tide of threats, from financial cybercrime to asymmetric military conflicts, demands greater sophistication in tools and techniques of law enforcement, commercial and domestic security professionals, and terrorism prevention. Concentrating on computational solutions to determine or anticipate an adversary's intent, Adversarial Reasoning: ... En savoir plus

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  • Numerical Methods for Optimal Control Problems

    Collections series Mathematics and Statistics (R0)
    This work presents recent mathematical methods in the area of optimal control with a particular emphasis on the computational aspects and applications. Optimal control theory concerns the determination of control strategies for complex dynamical systems, in order to optimize some measure of their performance. Started in the 60's under the pressure of the "space race" between the US and the former ... En savoir plus

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    Collections Livre 2 - Wiley Series in Operations Research and Management Science
    Introduces various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges facing societyHandbook of Real-World Applications in Modeling and Simulation provides a thorough explanation of modeling and simulation in the most useful, current, and predominant applied areas of transportation, homeland security, medicine, operational research, military ... En savoir plus

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  • A General Introduction to Data Analytics

    A guide to the principles and methods of data analysis that does not require knowledge of statistics or programmingA General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of ... En savoir plus

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  • Data Analysis

    What Can Be Learned From the Past 50 Years

    par Peter J. Huber ...
    Collections Livre 874 - Wiley Series in Probability and Statistics
    This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? ... En savoir plus

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  • An Introduction to Machine Learning

    par Miroslav Kubat ...
    Collections series Computer Science (R0)
    This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later ... En savoir plus

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  • Operations Research

    A Practical Introduction

    Collections series Advances in Applied Mathematics
    Operations Research: A Practical Introduction is just that: a hands-on approach to the field of operations research (OR) and a useful guide for using OR techniques in scientific decision making, design, analysis and management. The text accomplishes two goals. First, it provides readers with an introduction to standard mathematical models and algorithms. Second, it is a thorough examination of ... En savoir plus

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  • Risk Management and System Safety

    This is a comprehensive and authoritarian book on the critical subject that various industrial, technological, managerial and social sectors are trying to find solution for. The ever evolving technology constantly places a new set of Risk and Safefy challange. The book address the concepts and models required to address this growing need of System Safety. ... En savoir plus

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  • Reinforcement Learning and Stochastic Optimization

    A Unified Framework for Sequential Decisions

    REINFORCEMENT LEARNING AND STOCHASTIC OPTIMIZATIONClearing the jungle of stochastic optimizationSequential decision problems, which consist of “decision, information, decision, information,” are ubiquitous, spanning virtually every human activity ranging from business applications, health (personal and public health, and medical decision making), energy, the sciences, all fields of engineering, ... En savoir plus

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  • Bayesian Networks

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    Collections series Chapman & Hall/CRC Texts in Statistical Science
    Bayesian Networks: With Examples in R, Second Edition introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples illustrate each step of the modelling process and discuss side by side the underlying theory and its application using R code. The examples start from the simplest notions and gradually increase in complexity. In particular, this new edition contains ... En savoir plus

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  • Hands-On Neural Networks with Keras

    Design and create neural networks using deep learning and artificial intelligence principles

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    Your one-stop guide to learning and implementing artificial neural networks with Keras effectivelyKey FeaturesDesign and create neural network architectures on different domains using KerasIntegrate neural network models in your applications using this highly practical guideGet ready for the future of neural networks through transfer learning and predicting multi network modelsBook ... En savoir plus

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  • Data Analytics

    A Small Data Approach

    Collections series Chapman & Hall/CRC Data Science Series
    Data Analytics: A Small Data Approach is suitable for an introductory data analytics course to help students understand some main statistical learning models. It has many small datasets to guide students to work out pencil solutions of the models and then compare with results obtained from established R packages. Also, as data science practice is a process that should be told as a story, in this ... En savoir plus

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