Stochastic Optimization for Large-scale Machine Learning
暫譯: 大規模機器學習的隨機優化

Chauhan, Vinod Kumar

Stochastic Optimization for Large-scale Machine Learning
  • 出版商: CRC
  • 出版日期: 2024-10-07
  • 售價: $2,670
  • 貴賓價: 9.5 折 $2,537
  • 語言: 英文
  • 頁數: 158
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032146141
  • ISBN-13: 9781032146140
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

Stochastic Optimization for Large-scale Machine Learning identifies different areas of improvement and recent research directions to tackle the challenge. Developed optimisation techniques are also explored to improve machine learning algorithms based on data access and on first and second order optimisation methods.

商品描述(中文翻譯)

《隨機優化在大規模機器學習中的應用》識別了不同的改進領域和近期的研究方向，以應對這一挑戰。還探討了已開發的優化技術，以改善基於數據訪問的機器學習算法，以及一階和二階優化方法。

作者簡介

Dr. Vinod Kumar Chauhan is a Research Associate in Industrial Machine Learning in the Institute for Manufacturing, Department of Engineering at University of Cambridge UK. He has a PhD in Machine Learning from Panjab University Chandigarh India. His research interests are in Machine Learning, Optimization and Network Science. He specializes in solving large-scale optimization problems in Machine Learning, handwriting recognition, flight delay propagation in airlines, robustness and nestedness in complex networks and supply chain design using mathematical programming, genetic algorithms and reinforcement learning.

作者簡介(中文翻譯)

Dr. Vinod Kumar Chauhan 是英國劍橋大學工程系製造研究所的工業機器學習研究助理。他擁有印度昌迪加爾的旁遮普大學機器學習博士學位。他的研究興趣包括機器學習、優化和網絡科學。他專注於解決機器學習中的大規模優化問題、手寫識別、航空公司航班延誤傳播、複雜網絡中的穩健性和嵌套性，以及使用數學規劃、遺傳算法和強化學習進行供應鏈設計。

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