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Meilleures séries dans ce pays : Canada

1-2 sur 2 résultats pour « cong fang »
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  • Alternating Direction Method of Multipliers for Machine Learning

    par Zhouchen Lin, Huan Li, Cong Fang ...
    Collections 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 ... En savoir plus

    $166.49 CAD

  • Accelerated Optimization for Machine Learning

    First-Order Algorithms

    par Zhouchen Lin, Huan Li, Cong Fang ...
    Collections 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 ... En savoir plus

    $179.99 CAD