<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Ml-on-Gcp on Nyghtowl</title>
    <link>https://nyghtowl.com/series/ml-on-gcp/</link>
    <description>Recent content in Ml-on-Gcp on Nyghtowl</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <copyright>&lt;a href=&#34;https://creativecommons.org/licenses/by-nc-sa/4.0/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;CC BY-NC-SA 4.0&lt;/a&gt;</copyright>
    <lastBuildDate>Tue, 18 Jul 2017 14:03:51 +0000</lastBuildDate>
    <atom:link href="https://nyghtowl.com/series/ml-on-gcp/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>How to run any ML package on GCP | The Models</title>
      <link>https://nyghtowl.com/posts/2017/07/ml-on-gcp-the-models/</link>
      <pubDate>Tue, 18 Jul 2017 14:03:51 +0000</pubDate>
      <guid>https://nyghtowl.com/posts/2017/07/ml-on-gcp-the-models/</guid>
      <description>&lt;h3 id=&#34;how-to-run-any-ml-package-on-gcp--themodels&#34;&gt;How to run any ML package on GCP | The Models&lt;/h3&gt;&#xA;&lt;p&gt;&lt;img src=&#34;https://nyghtowl.com/posts/2017/07/ml-on-gcp-the-models/img-01.jpeg&#34; alt=&#34;&#34;&gt;&lt;/p&gt;&#xA;&lt;p&gt;In the &lt;a href=&#34;https://medium.com/@warrick.melanie/how-to-run-any-ml-package-on-gcp-the-setup-7196268cefc3&#34;&gt;previous post&lt;/a&gt;, I showed you how to setup a virtual machine (VM) on Google Cloud Platform (GCP) so you can get started running your machine learning package of choice. Examples shared in this post are from different top frameworks in the ML space with a Python focused. Any programming language can be used as well as any package because you are just using a remote computer that you can shape as needed.&lt;/p&gt;</description>
    </item>
    <item>
      <title>How to run any ML package on GCP | The Setup</title>
      <link>https://nyghtowl.com/posts/2017/07/ml-on-gcp-the-setup/</link>
      <pubDate>Tue, 18 Jul 2017 14:03:02 +0000</pubDate>
      <guid>https://nyghtowl.com/posts/2017/07/ml-on-gcp-the-setup/</guid>
      <description>&lt;h3 id=&#34;how-to-run-any-ml-package-on-gcp--thesetup&#34;&gt;How to run any ML package on GCP | The Setup&lt;/h3&gt;&#xA;&lt;p&gt;&lt;img src=&#34;https://nyghtowl.com/posts/2017/07/ml-on-gcp-the-setup/img-01.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;&#xA;&lt;p&gt;Recently, I joined Google to work on machine learning and Cloud. The first questions on my mind were how would I use Google Cloud Platform (GCP) like I’ve used other platforms to run whatever machine learning (ML) software that I want to use. This post is sharing a few things I’ve picked up over the last couple months with the intent to help others looking at GCP.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
