<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/99f32d7882764d9d8f4dc6ce3d824319&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/99f32d7882764d9d8f4dc6ce3d824319-1714382698066.gif</thumbnail_url><duration>2226.089</duration><title>Building Domain Specific Datasets for Machine Learning Models</title><description>In this Loom, I explain how to build domain-specific datasets for machine learning models. We discuss the importance of domain expertise and collaboration, and I guide you through the process step by step. By the end, you will have a clear understanding of how to define your project, set up the necessary resources, and generate a dataset. No action is required from you, but I encourage you to watch the video to gain valuable insights into building effective machine learning models.</description></oembed>