<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic MLOPs in Machine Learning</title>
    <link>https://community.databricks.com/t5/machine-learning/mlops/m-p/35471#M1844</link>
    <description>&lt;P&gt;I’m here to learn more about DataBricks MLOps. I’ve learnt so much about how to build and maintain a production-level ML models. I will apply this knowledge to build a scalable ML solutions for my company.&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 28 Jun 2023 00:28:26 GMT</pubDate>
    <dc:creator>HangLePhuonf</dc:creator>
    <dc:date>2023-06-28T00:28:26Z</dc:date>
    <item>
      <title>MLOPs</title>
      <link>https://community.databricks.com/t5/machine-learning/mlops/m-p/35471#M1844</link>
      <description>&lt;P&gt;I’m here to learn more about DataBricks MLOps. I’ve learnt so much about how to build and maintain a production-level ML models. I will apply this knowledge to build a scalable ML solutions for my company.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 28 Jun 2023 00:28:26 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/mlops/m-p/35471#M1844</guid>
      <dc:creator>HangLePhuonf</dc:creator>
      <dc:date>2023-06-28T00:28:26Z</dc:date>
    </item>
  </channel>
</rss>

