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  • Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems

    Diziler series Systems Engineering
    This book presents in a systematic and comprehensive manner the modeling of uncertainty, vagueness, or imprecision, alias "fuzziness," in just about any field of science and engineering. It delivers a usable methodology for modeling in the absence of real-time feedback. The book includes a short introduction to fuzzy logic containing basic definitions of fuzzy set theory and fuzzy rule systems. It ... Daha fazla okuyun

    TL40.062,20

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  • An Introduction to Statistical Learning

    with Applications in R

    Diziler series Mathematics and Statistics (R0)
    An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant ... Daha fazla okuyun

    TL3.639,59

  • Probabilistic Robotics

    Diziler series Intelligent Robotics and Autonomous Agents series
    An introduction to the techniques and algorithms of the newest field in robotics.Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of ... Daha fazla okuyun

    TL4.147,67

  • Statistics

    An Introduction Using R

    "...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006)A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package RThis new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough ... Daha fazla okuyun

    TL1.996,55

  • System Identification

    Theory for the User

    ile Lennart Ljung ...
    The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and ... Daha fazla okuyun

    TL7.069,43

  • Probability and Random Processes

    With Applications to Signal Processing and Communications

    ile Scott Miller ...
    Probability and Random Processes provides a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It includes unique chapters on narrowband random processes and simulation techniques. It also includes applications in digital communications, information theory ... Daha fazla okuyun

    TL4.752,47

  • Introduction to Machine Learning, fourth edition

    ile Ethem Alpaydin ...
    Diziler series Adaptive Computation and Machine Learning series
    A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This ... Daha fazla okuyun

    TL3.393,23

  • Simulation

    ile Sheldon M. Ross ...
    The 5th edition of Ross's Simulation continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions ... Daha fazla okuyun

    TL3.102,47

  • Machine Learning

    a Concise Introduction

    ile Steven W. Knox ...
    Diziler Kitap 285 - Wiley Series in Probability and Statistics
    **AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONSPROSE Award Finalist 2019Association of American Publishers Award for Professional and Scholarly Excellence**Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning. The author—an expert in the field ... Daha fazla okuyun

    TL4.221,23

  • Generalized Additive Models

    An Introduction with R, Second Edition

    ile Simon N. Wood ...
    Diziler series Chapman & Hall/CRC Texts in Statistical Science
    The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before ... Daha fazla okuyun

    TL6.336,11

  • Regularized System Identification

    Learning Dynamic Models from Data

    Diziler series Engineering (R0)
    This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The ... Daha fazla okuyun

    Ücretsiz

  • Statistical Analysis Techniques in Particle Physics

    Fits, Density Estimation and Supervised Learning

    Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students. ... Daha fazla okuyun

    TL4.826,39