<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AzureMachineLearning on NASAN</title><link>https://nasan.ch/tags/azuremachinelearning/</link><description>Recent content in AzureMachineLearning on NASAN</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 21 Feb 2025 05:10:21 +0100</lastBuildDate><atom:link href="https://nasan.ch/tags/azuremachinelearning/index.xml" rel="self" type="application/rss+xml"/><item><title>MLflow - mind map - core components</title><link>https://nasan.ch/posts/2025-02-21-mlflow-mind-map/</link><pubDate>Fri, 21 Feb 2025 05:10:21 +0100</pubDate><guid>https://nasan.ch/posts/2025-02-21-mlflow-mind-map/</guid><description>&lt;p&gt;This mind map offers a comprehensive overview of the core components of MLflow. An interesting fact about MLflow is that it was originally developed by Databricks, with which it maintains strong integration.&lt;/p&gt;
&lt;h2 id="mlflow-mind-map"&gt;MLflow Mind Map&lt;/h2&gt;
&lt;p&gt;&lt;figure&gt;&lt;a class="lightgallery" href="https://nasan.ch/images/mlflow-core-components-mind-map.svg" title="MLflow MindMap" data-thumbnail="/images/mlflow-core-components-mind-map.svg" data-sub-html="&lt;h2&gt;MLflow Mind Map showcasing core components&lt;/h2&gt;&lt;p&gt;MLflow MindMap&lt;/p&gt;"&gt;
 &lt;img
 class="lazyload"
 src="https://nasan.ch/svg/loading.min.svg"
 data-src="https://nasan.ch/images/mlflow-core-components-mind-map.svg"
 data-srcset="https://nasan.ch/images/mlflow-core-components-mind-map.svg, https://nasan.ch/images/mlflow-core-components-mind-map.svg 1.5x, https://nasan.ch/images/mlflow-core-components-mind-map.svg 2x"
 data-sizes="auto"
 alt="/images/mlflow-core-components-mind-map.svg" /&gt;
 &lt;/a&gt;&lt;figcaption class="image-caption"&gt;MLflow Mind Map showcasing core components&lt;/figcaption&gt;
 &lt;/figure&gt;&lt;br&gt;
&lt;em&gt;Figure 1: MLflow Mind Map visualizing core components&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;Download the mind map in multiple formats:&lt;br&gt;
&lt;a href="https://nasan.ch/images/mlflow-core-components-mind-map.png" title="Preview" rel=""&gt;MindMap PNG&lt;/a&gt;&lt;br&gt;
&lt;a href="https://nasan.ch/images/mlflow-core-components-mind-map.jpg" title="Preview" rel=""&gt;MindMap JPG&lt;/a&gt;&lt;br&gt;
&lt;a href="https://nasan.ch/images/mlflow-core-components-mind-map.svg" title="Preview" rel=""&gt;MindMap SVG&lt;/a&gt;&lt;/p&gt;</description></item><item><title>Azure Machine Learning - mind map</title><link>https://nasan.ch/posts/2024-03-30-azuremachinelearning-overview/</link><pubDate>Sat, 30 Mar 2024 05:10:21 +0100</pubDate><guid>https://nasan.ch/posts/2024-03-30-azuremachinelearning-overview/</guid><description>&lt;p&gt;To get to know better the Azure Machine Learning workspace I created the following MindMap:&lt;/p&gt;
&lt;h2 id="azure-machine-learning"&gt;Azure Machine Learning:&lt;/h2&gt;
&lt;p&gt;&lt;figure&gt;&lt;a class="lightgallery" href="https://nasan.ch/images/AzureMachineLearning-Overview.svg" title="Azure Machine Learning Overview MindMap SVG" data-thumbnail="/images/AzureMachineLearning-Overview.svg" data-sub-html="&lt;h2&gt;Preview&lt;/h2&gt;&lt;p&gt;Azure Machine Learning Overview MindMap SVG&lt;/p&gt;"&gt;
 &lt;img
 class="lazyload"
 src="https://nasan.ch/svg/loading.min.svg"
 data-src="https://nasan.ch/images/AzureMachineLearning-Overview.svg"
 data-srcset="https://nasan.ch/images/AzureMachineLearning-Overview.svg, https://nasan.ch/images/AzureMachineLearning-Overview.svg 1.5x, https://nasan.ch/images/AzureMachineLearning-Overview.svg 2x"
 data-sizes="auto"
 alt="/images/AzureMachineLearning-Overview.svg" /&gt;
 &lt;/a&gt;&lt;figcaption class="image-caption"&gt;Preview&lt;/figcaption&gt;
 &lt;/figure&gt;&lt;/p&gt;</description></item></channel></rss>