LIBROS DEL AUTOR: cong fang

5 resultados para LIBROS DEL AUTOR: cong fang

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  • Alternating Direction Method of Multipliers for Machine Learning
    Cong Fang / Huan Li / Zhouchen Lin
    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...
    Disponible

    173,14 €

  • Alternating Direction Method of Multipliers for Machine Learning
    Cong Fang / Huan Li / Zhouchen Lin
    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...
    Disponible

    171,79 €

  • Accelerated Optimization for Machine Learning
    Cong Fang / Huan Li / Zhouchen Lin
    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 lead...
    Disponible

    195,35 €

  • Accelerated Optimization for Machine Learning
    Cong Fang / Huan Li / Zhouchen Lin
    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 lead...
    Disponible

    48,00 €

  • Accelerated Optimization for Machine Learning
    Cong Fang / Huan Li / Zhouchen Lin
    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 lead...
    Disponible

    194,19 €