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Ray 分布式机器学习:利用Ray 进行大模型的数据处理、训练、推理和部署
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Ray 分布式机器学习:利用Ray 进行大模型的数据处理、训练、推理和部署

by Max Pumperla, Edward Oakes, Richard Liaw
May 2024
Intermediate
252 pages
5h 31m
Chinese
China Machine Press
Content preview from Ray 分布式机器学习:利用Ray 进行大模型的数据处理、训练、推理和部署
作者简介
Max Pumperla
是一位现居德国汉堡的数据科学家和软件工程师。作为一名活跃
的开源贡献者,他是多个 Python 包的维护者、机器学习书籍的作者,并多次在
国际会议上发表演讲。他目前在 Anyscale 担任软件工程师。在担任 Pathmind
司的产品负责人时,他使用 Ray RLlibServe Tune 开发了用于大规模产业应
用的强化学习解决方案。Max 曾是 Skymind DL4J 核心开发者,拓展了 Keras
生态,并且是 Hyperopt 的维护者。
Edward Oakes
Anyscale 的软件工程师和团队负责人,负责 Ray Serve 的开
发,是 Ray 最重要的开源贡献者之一。在加入 Anyscale 之前,他是美国加州大
学伯克利分校电子工程与计算机科学系的研究生。
Richard Liaw
Anyscale 的软件工程师,致力于开发用于分布式机器学习的
开源工具。他目前暂时从加州大学伯克利分校计算机科学系博士的学习中休学,
他的导师是 Joseph GonzalezIon Stoica Ken Goldberg
封面简介
本书封面上的动物是大理石纹电鳐(Torpedo marmorata,又名鲼鳐。大理石纹
电鳐分布于从非洲到挪威的大西洋东部以及地中海。它们是底栖动物,喜欢生
活在岩礁、海草床和泥滩中等浅水到中等深度水域。
大理石纹电鳐身上有棕黑相间的斑纹,使它们能白天在泥浊的水域中伪装隐藏。
夜晚,大理石纹电鳐会出来捕食小鱼,比如虾虎鱼 ...
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Publisher Resources

ISBN: 9787111753384