当前位置:首页 >英文主页 >中英对照 > 报告详情

O’Reilly:如何利用合成数据推进人工智能和机器学习(2020)(英文版)(64页).pdf

上传人: 白**** 编号:621305 2025-04-01 64页 5.82MB

下载:

1、REPORTAccelerating AI with Synthetic DataGenerating Data for AI ProjectsKhaled El EmamCompliments ofTHE LEADER IN AI COMPUTING.Sign up to get the latest AI news straight to your inbox.SUBSCRIBEKhaled El EmamAccelerating AI withSynthetic DataGenerating Data for AI ProjectsBostonFarnhamSebastopolTokyo

2、BeijingBostonFarnhamSebastopolTokyoBeijing978-1-492-04596-0LSIAccelerating AI with Synthetic Databy Khaled El EmamCopyright 2020 OReilly Media,Inc.All rights reserved.Printed in the United States of America.Published by OReilly Media,Inc.,1005 Gravenstein Highway North,Sebastopol,CA95472.OReilly boo

3、ks may be purchased for educational,business,or sales promotional use.Online editions are also available for most titles(http:/).For more information,contact our corporate/institutional sales department:800-998-9938 .Acquisitions Editor:Jonathan HassellDevelopment Editor:Melissa PotterProduction Edi

4、tor:Daniel ElfanbaumCopyeditor:Sharon WilkeyProofreader:Shannon TurlingtonInterior Designer:David FutatoCover Designer:Karen MontgomeryIllustrator:Rebecca DemarestJune 2020:First EditionRevision History for the First Edition2020-06-03:First ReleaseThe OReilly logo is a registered trademark of OReill

5、y Media,Inc.Accelerating AIwith Synthetic Data,the cover image,and related trade dress are trademarks ofOReilly Media,Inc.The views expressed in this work are those of the author,and do not represent thepublishers views.While the publisher and the author have used good faith efforts toensure that th

6、e information and instructions contained in this work are accurate,thepublisher and the author disclaim all responsibility for errors or omissions,including without limitation responsibility for damages resulting from the use of or reliance on this work.Use of the information and instructions contai

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
本文主要介绍了合成数据的概念、优势、生成方法以及如何在企业中实施数据合成。合成数据不是真实数据,而是从真实数据中生成,具有与真实数据相同的统计特性。合成数据可以解决获取真实数据时遇到的隐私和质量问题,提高数据访问性和可用性。文章详细描述了数据合成项目的过程,包括数据准备、数据生成、效用评估和隐私保证等步骤。此外,还讨论了如何在企业中实施数据合成,包括数据合成管道和合成中心。最后,文章提出了实施数据合成的最佳实践,如确保足够的计算能力、考虑分析师仅需处理数据子集的情况,以及进行验证研究以获得和维持数据分析师和用户的支持。
数据合成如何加速AI项目? 如何建立对合成数据的信任? 数据合成在哪些行业中应用?
客服
商务合作
小程序
服务号
折叠