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...


Serie m´´as popular en Estados Unidos

1 - 12 de 12 resultados para “cong fang”
Skip side bar filters

  • Alternating Direction Method of Multipliers for Machine Learning

    de Zhouchen Lin, Huan Li, Cong Fang ...
    Series series Computer Science (R0)
    Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to solve constrained problems, especially linearly constrained ones. Written by experts in machine learning and optimization, this is the first book ... Leer más

    $134.99 USD

  • Accelerated Optimization for Machine Learning

    First-Order Algorithms

    de Zhouchen Lin, Huan Li, Cong Fang ...
    Series series Computer Science (R0)
    This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by leading experts in the ... Leer más

    $143.99 USD

  • Assuring Safe Operation of Robotic Systems under Uncertainty

    Control and Learning Methods

    de Cong Li, Yongchao Wang, Fangzhou Liu, Xinglong Zhang ...
    Assuring Safe Operation of Robotic Systems under Uncertainty: Control and Learning Methods applies set-theoretic and reinforcement learning approaches to formulate, analyze, and solve the challenge of ensuring safe operation of robotic systems in an uncertain environment.The authors adopt learning-supported, set-theoretic methods—specifically, the barrier Lyapunov function and the control barrier ... Leer más

    $120.99 USD

La gente que leyó estos también disfrutó

  • Probabilistic Machine Learning

    An Introduction

    de Kevin P. Murphy ...
    Series series Adaptive Computation and Machine Learning series
    A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra ... Leer más

    $77.99 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

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    de Jay Dawani ...
    A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, ... Leer más

    $27.99 USD o gratis con Kobo Plus

  • Machine Learning - A Journey To Deep Learning: With Exercises And Answers

    de Andreas Miroslaus Wichert, Luis Sa-couto ...
    This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning ... Leer más

    $120.99 USD

  • Algorithms for Optimization

    de Mykel J. Kochenderfer, Tim A. Wheeler ...
    A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will ... Leer más

    $58.99 USD

  • Principles of Optimal Design

    Modeling and Computation

    de Panos Y. Papalambros, Douglass J. Wilde ...
    Design optimization is a standard concept in engineering design, and in other disciplines which utilize mathematical decision-making methods. This textbook focuses on the close relationship between a design problem's mathematical model and the solution-driven methods which optimize it. Along with extensive material on modeling problems, this book also features useful techniques for checking ... Leer más

    $77.99 USD

  • Data-Driven Decisions: An Introduction to Machine Learning

    Technology

    de Nandini K ...
    Series series Technology
    Data-Driven Decisions: An Introduction to Machine Learning provides a comprehensive and accessible introduction to the principles and applications of machine learning for students, professionals, and decision-makers. Combining theoretical foundations with practical examples, this book guides readers through key concepts such as supervised and unsupervised learning, feature engineering, model ... Leer más

    $39.00 USD o gratis con Kobo Plus

  • An Introduction to Machine Learning

    de Miroslav Kubat ...
    Series 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 ... Leer más

    $49.99 USD

  • Graph Theoretic Methods in Multiagent Networks

    de Mehran Mesbahi, Magnus Egerstedt ...
    Series series Princeton Series in Applied Mathematics
    This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph ... Leer más

    $70.59 USD