<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent &amp; Upcoming Talks | Democratizing Data</title><link>https://b94feae1.chezo-uno.pages.dev/event/</link><atom:link href="https://b94feae1.chezo-uno.pages.dev/event/index.xml" rel="self" type="application/rss+xml"/><description>Recent &amp; Upcoming Talks</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><copyright>© Aki Ariga 2017-2025</copyright><lastBuildDate>Fri, 22 Nov 2019 14:20:00 +0900</lastBuildDate><image><url>https://b94feae1.chezo-uno.pages.dev/media/icon_hu_9ca82a90e0d162db.png</url><title>Recent &amp; Upcoming Talks</title><link>https://b94feae1.chezo-uno.pages.dev/event/</link></image><item><title>Challenges for Machine Learning Systems toward Continuous Improvement</title><link>https://b94feae1.chezo-uno.pages.dev/event/ibisml-2019-mlops/</link><pubDate>Fri, 22 Nov 2019 14:20:00 +0900</pubDate><guid>https://b94feae1.chezo-uno.pages.dev/event/ibisml-2019-mlops/</guid><description/></item><item><title>How do you debug/test your Workflow?</title><link>https://b94feae1.chezo-uno.pages.dev/event/ml-workflow/</link><pubDate>Fri, 30 Aug 2019 17:32:40 +0900</pubDate><guid>https://b94feae1.chezo-uno.pages.dev/event/ml-workflow/</guid><description/></item><item><title>Managing Machine Learning workflows on Treasure Data</title><link>https://b94feae1.chezo-uno.pages.dev/event/plazma-td-tech-talk-2018/</link><pubDate>Wed, 17 Oct 2018 17:32:50 +0900</pubDate><guid>https://b94feae1.chezo-uno.pages.dev/event/plazma-td-tech-talk-2018/</guid><description/></item><item><title>仕事ではじめる機械学習</title><link>https://b94feae1.chezo-uno.pages.dev/event/jssst-mlse-kickoff-symposium/</link><pubDate>Thu, 17 May 2018 00:00:00 +0900</pubDate><guid>https://b94feae1.chezo-uno.pages.dev/event/jssst-mlse-kickoff-symposium/</guid><description/></item><item><title>Train, predict, and serve: How to put your machine learning model into production</title><link>https://b94feae1.chezo-uno.pages.dev/event/strata-data-conference-singapore/</link><pubDate>Wed, 06 Dec 2017 13:45:00 +0800</pubDate><guid>https://b94feae1.chezo-uno.pages.dev/event/strata-data-conference-singapore/</guid><description/></item><item><title>機械学習システムのデプロイパターン</title><link>https://b94feae1.chezo-uno.pages.dev/event/cloudera-world-tokyo-2017/</link><pubDate>Tue, 07 Nov 2017 00:00:00 +0900</pubDate><guid>https://b94feae1.chezo-uno.pages.dev/event/cloudera-world-tokyo-2017/</guid><description/></item><item><title>Invited talk: データサイエンティストからみた統合されたデータ分析基盤の恩恵</title><link>https://b94feae1.chezo-uno.pages.dev/event/jsai-sig-swo-42/</link><pubDate>Tue, 27 Jun 2017 14:00:00 +0900</pubDate><guid>https://b94feae1.chezo-uno.pages.dev/event/jsai-sig-swo-42/</guid><description/></item><item><title>Cloudera Data Science WorkbenchとPySparkを使って好きなPythonライブラリを分散で使う</title><link>https://b94feae1.chezo-uno.pages.dev/event/de-da-workshop-1/</link><pubDate>Fri, 02 Jun 2017 19:30:00 +0900</pubDate><guid>https://b94feae1.chezo-uno.pages.dev/event/de-da-workshop-1/</guid><description/></item><item><title>A data enginnering and data science platform based on Hadoop/Spark</title><link>https://b94feae1.chezo-uno.pages.dev/event/bigdata-analytics-tokyo-1/</link><pubDate>Tue, 07 Feb 2017 13:20:00 +0900</pubDate><guid>https://b94feae1.chezo-uno.pages.dev/event/bigdata-analytics-tokyo-1/</guid><description/></item><item><title>大規模データに対するデータサイエンスの進め方</title><link>https://b94feae1.chezo-uno.pages.dev/event/cloudera-world-tokyo-2016/</link><pubDate>Tue, 08 Nov 2016 17:33:51 +0900</pubDate><guid>https://b94feae1.chezo-uno.pages.dev/event/cloudera-world-tokyo-2016/</guid><description/></item></channel></rss>