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A Tutorial on Trained Systems: A New Generation of Data Management Systems?

机译:训练有素的系统教程:新一代数据管理系统?

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摘要

A new generation of data processing systems, including web search, Google's Knowledge Graph, IBM's DeepQA, and several different recommendation systems, combine rich databases with software driven by machine learning. The spectacular successes of these trained systems have been among the most notable in all of computing and have generated excitement in health care, finance, energy, and general business. But building them can be challenging even for computer scientists with PhD-level training. This tutorial will describe some of the recent progress on trained systems from both industrial and academic systems. It will also contain a walkthrough of examples of trained systems that are in daily use by scientists in Geoscience, PaleoBiology, and English Literature. Papers, software, virtual machines that contain installations of our software, links to applications that are discussed in this talk, and our list of collaborators are available from our project page.We also have a YouTube channel.
机译:新一代的数据处理系统,包括Web搜索,Google的Knowledge Graph,IBM的DeepQA以及几种不同的推荐系统,将丰富的数据库与机器学习驱动的软件结合在一起。这些训练有素的系统取得了令人瞩目的成功,在所有计算领域中都是最显着的,并在医疗保健,金融,能源和一般业务领域引起了极大的兴趣。但是,即使对于具有博士学位水平培训的计算机科学家来说,构建它们也可能具有挑战性。本教程将描述来自工业和学术系统的经过训练的系统的最新进展。它还将包含一个示例,其中包括地球科学,古生物学和英语文学的科学家日常使用的受过训练的系统的示例。可在项目页面上找到包含本软件安装的文件,软件,虚拟机,指向本次讨论中讨论的应用程序的链接以及合作者列表。我们还有一个YouTube频道。

著录项

  • 来源
    《Big data》|2013年|13-28|共16页
  • 会议地点 Oxford(GB)
  • 作者

    Christopher Re;

  • 作者单位

    University of Wisconsin-Madison;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-26 14:28:20

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