Zbirka: Prepoznavanje vzorcev

21 rezultatov

  • Ogled izdelka
    Hands-On Unsupervised Learning Using Python(2019) PATEL, ANKUR A.
    Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-r
    Vezava: Mehka
    82,08 €
  • Ogled izdelka
    Neural Networks for Pattern Recognition(1995) BISHOP, CHRISTOPHER M. (, MICROSOFT RESEARCH)
    This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern
    Vezava: Mehka
    138,60 €
  • Ogled izdelka
    Machine Learning: The Art and Science of Algorithms That Make Sense of Data(2012) PETER FLACH
    Vezava: Mehka
    81,40 €
  • Ogled izdelka
    A Gentle Introduction to Support Vector Machines in Biomedicine: Volume 2: Case Studies and Benchmarks(2012) ALEXANDER STATNIKOV
    Vezava: Trda
    63,31 €
  • Ogled izdelka
    High-Dimensional Probability(2018) VERSHYNIN, ROMAN (UNIVERSITY OF CALIFORNIA, IRVINE)
    The data sciences are moving fast, and probabilistic methods are both the foundation and a driver. This highly motivated text brings beginners up to speed quickly and provides working data scientists with powerful new tools. Ideal for a basic second cours
    Vezava: Trda
    93,27 €
  • Ogled izdelka
    Cambridge Series in Statistical and Probabilistic Mathematics(2019) MARTIN J. WAINWRIGHT
    Vezava: Trda
    110,24 €
  • Ogled izdelka
    Linear Algebra and Learning from Data(2019) GILBERT STRANG
    Vezava: Trda
    106,84 €
  • Ogled izdelka
    Data Matching(2014) CHRISTEN, PETER
    This inaugural volume on a topic of increasing importance collates research on databases, statistics, information retrieval, data mining and machine learning to provide a detailed discussion of the practical aspects and limitations of data matching.
    Vezava: Mehka
    165,36 €
  • Ogled izdelka
    Human and Machine Learning(2018)
    Vezava: Trda
    44,29 €
  • Ogled izdelka
    Introduction to Applied Linear Algebra(2018) BOYD, STEPHEN (STANFORD UNIVERSITY, CALIFORNIA),VANDENBERGHE, LIEVEN (UNIVERSITY OF CALIFORNIA, LOS ANGELES)
    A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications. It combines straightforward explanations with numerous practical examples and exercises from data science, machine learning an
    Vezava: Trda
    69,53 €
  • Ogled izdelka
    Man-Machine Speech Communication(2018)
    The papers address issues such as challenging issues in speech recognition and enhancement, speaker and language recognition, speech synthesis, corpus and phonetic in speech technology, speech generation, speech analyzing and modelling, speech processing
    Vezava: Mehka
    23,85 €
  • Ogled izdelka
    Linear Algebra for Everyone(2020) STRANG, GILBERT (MASSACHUSETTS INSTITUTE OF TECHNOLOGY)
    Vezava: Trda
    89,88 €
  • Ogled izdelka
    An Intuitive Exploration of Artificial Intelligence - Theory and Applications of Deep Learning(2022) DUBE, SIMANT
    Vezava: Mehka
    83,95 €
  • Ogled izdelka
    Intelligent Mobile Service Computing(2020)
    This book discusses recent research and applications in intelligent service computing in mobile environments. The book, made up of contributions from academic and industry, aims to present advances in intelligent services, new algorithms and techniques in
    Vezava: Trda
    23,85 €
  • Ogled izdelka
    Essentials of Pattern Recognition(2020) WU, JIANXIN (NANJING UNIVERSITY, CHINA)
    Introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. The text focuses on a relatively small number of core concepts with an abundance of illustrations and examples and prov
    Vezava: Trda
    93,27 €
  • Ogled izdelka
    Machine Learning Refined(2020) WATT, JEREMY (NORTHWESTERN UNIVERSITY, ILLINOIS),BORHANI, REZA (NORTHWESTERN UNIVERSITY, ILLINOIS),KATSAGGELOS, AGGELOS K. (NORTHWESTERN UNIVERSITY, ILLINOIS)
    An intuitive approach to machine learning detailing the key concepts needed to build products and conduct research. Featuring color illustrations, real-world examples, practical coding exercises, and an online package including sample code, data sets, lec
    Vezava: Trda
    98,36 €
  • Ogled izdelka
    Scaling up Machine Learning(2018)
    In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a va
    Vezava: Mehka
    76,31 €
  • Ogled izdelka
    Mathematics for Machine Learning(2020) DEISENROTH, MARC PETER (UNIVERSITY COLLEGE LONDON),FAISAL, A. ALDO (IMPERIAL COLLEGE LONDON),ONG, CHENG SOON
    This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus
    Vezava: Mehka
    73,49 €
  • Ogled izdelka
    Biometrics(2018) FAIRHURST, MICHAEL (PROFESSOR OF COMPUTER VISION, UNIVERSITY OF KENT)
    With the rise of digital technologies the need for effective means of identification has grown enormously. Biometrics is the rapidly growing science of identifying individuals through biological characteristics, from iris patterning to voice recognition.
    Vezava: Mehka
    12,50 €
  • Ogled izdelka
    Algorithmic High-Dimensional Robust Statistics(2023) DIAKONIKOLAS, ILIAS (UNIVERSITY OF WISCONSIN-MADISON),KANE, DANIEL M. (UNIVERSITY OF CALIFORNIA, SAN DIEGO)
    This reference text offers a clear unified treatment for graduate students, academic researchers, and professionals interested in understanding and developing statistical procedures for high-dimensional data that are robust to idealized modeling assumptio
    Vezava: Trda
    76,31 €

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