Skip to main content
Search Button
Estados Unidos Tienda Kobo Tarjetas de regalo Ayuda

Kobo Rakuten

Wishlist

Carrito de compra

¡Obtienes el tratamiento VIP!

Artículos no disponibles para compra.
Por favor revisa tu carrito. Puedes eliminar los artículos no disponibles ahora o los eliminaremos nosotros automáticamente al momento de pagar.
artículosartículo
artículosartículo

Recomendado para ti

Loading...


1 - 12 de 12 resultados para “ali ghodsi”
Skip side bar filters

  • Elements of Deep Learning

    de Benyamin Ghojogh, Ali Ghodsi ...
    Series series Artificial Intelligence (R0)
    This textbook offers a comprehensive introduction to deep learning and neural networks, integrating core foundations with the latest advances. It begins with essential machine learning concepts and classic neural network architectures before progressing through convolutional models, backpropagation, regularization, generalization theory, PAC learning, and Boltzmann machines. Advanced chapters ... Leer más

    $107.99 USD

  • Elements of Dimensionality Reduction and Manifold Learning

    de Benyamin Ghojogh, Mark Crowley, Fakhri Karray, Ali Ghodsi ...
    Series series Computer Science (R0)
    Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better representation of data or separation between classes. This book presents a cohesive review of linear and nonlinear dimensionality reduction and manifold learning. Three main aspects of dimensionality reduction are covered: spectral dimensionality ... Leer más

    $71.99 USD

La gente que leyó estos también disfrutó

  • Learning Decision Sequences For Repetitive Processes—Selected Algorithms

    de Wojciech Rafajłowicz ...
    Series series Intelligent Technologies and Robotics (R0)
    This book provides tools and algorithms for solving a wide class of optimization tasks by learning from their repetitions. A unified framework is provided for learning algorithms that are based on the stochastic gradient (a golden standard in learning), including random simultaneous perturbations and the response surface the methodology. Original algorithms include model-free learning of short ... Leer más

    $134.99 USD

  • Machine Learning

    A Constraint-Based Approach

    de Marco Gori ...
    Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic ... Leer más

    $71.99 USD

  • Pattern Recognition

    de Konstantinos Koutroumbas, Sergios Theodoridis ...
    This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods ... Leer más

    $96.99 USD

  • The Science of Deep Learning

    de Iddo Drori ...
    The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning ... Leer más

    $54.99 USD

  • Unsolved Problems in Mathematical Systems and Control Theory

    Edición de Alexandre Megretski, Vincent D. Blondel ...
    This book provides clear presentations of more than sixty important unsolved problems in mathematical systems and control theory. Each of the problems included here is proposed by a leading expert and set forth in an accessible manner. Covering a wide range of areas, the book will be an ideal reference for anyone interested in the latest developments in the field, including specialists in applied ... Leer más

    $79.19 USD

  • Geometry of Deep Learning

    A Signal Processing Perspective

    de Jong Chul Ye ...
    Series series Mathematics and Statistics (R0)
    The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is explained as an ultimate form of signal processing techniques that can be imagined.To support this ... Leer más

    $53.99 USD

  • Matrix Computations

    de Gene H. Golub, Charles F. Van Loan ...
    Series Libro 3 - Johns Hopkins Studies in the Mathematical Sciences
    A comprehensive treatment of numerical linear algebra from the standpoint of both theory and practice.The fourth edition of Gene H. Golub and Charles F. Van Loan's classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation of its ... Leer más

    $63.99 USD

  • Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

    Edición de Frank L. Lewis, Derong Liu ...
    Series Libro 17 - IEEE Press Series on Computational Intelligence
    Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, ... Leer más

    $148.00 USD

  • International Symposium on Mathematics, Quantum Theory, and Cryptography

    Proceedings of MQC 2019

    Edición de Tsuyoshi Takagi, Masato Wakayama, Keisuke Tanaka, Noboru Kunihiro, Kazufumi Kimoto, Yasuhiko Ikematsu ...
    Series series Springer Nature Proceedings excluding Computer Science
    This open access book presents selected papers from International Symposium on Mathematics, Quantum Theory, and Cryptography (MQC), which was held on September 25-27, 2019 in Fukuoka, Japan. The international symposium MQC addresses the mathematics and quantum theory underlying secure modeling of the post quantum cryptography including e.g. mathematical study of the light-matter interaction models ... Leer más

    Gratis

  • Fundamentals of Computational Intelligence

    Neural Networks, Fuzzy Systems, and Evolutionary Computation

    de James M. Keller, Derong Liu, David B. Fogel ...
    Series series IEEE Press Series on Computational Intelligence
    Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one anotherThis book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real ... Leer más

    $106.00 USD