<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Mlops Tools on Blogs by Kush</title><link>https://blogsbykush.com/tags/mlops-tools/</link><description>Recent content in Mlops Tools on Blogs by Kush</description><image><title>Blogs by Kush</title><url>https://blogsbykush.com/assets/images/og-default.png</url><link>https://blogsbykush.com/assets/images/og-default.png</link></image><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 17 Jun 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://blogsbykush.com/tags/mlops-tools/feed.xml" rel="self" type="application/rss+xml"/><item><title>Why AWS Lambda with DVC is not a best choice for Data Versioning Pipeline</title><link>https://blogsbykush.com/mlops/why-dvc-not-best-choice-with-awslambda-for-dataversioning/</link><pubDate>Mon, 17 Jun 2024 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/mlops/why-dvc-not-best-choice-with-awslambda-for-dataversioning/</guid><description>Explore the complexities and challenges faced while implementing a data versioning pipeline with AWS Lambda and DVC. Learn from real-world experiences and avoid common pitfalls in your own cloud-based data versioning projects.</description></item><item><title>AWS SageMaker - Empowering Your ML Lifecycle</title><link>https://blogsbykush.com/mlops/sagemaker-empowering-your-ml-lifecycle/</link><pubDate>Thu, 22 Jun 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/mlops/sagemaker-empowering-your-ml-lifecycle/</guid><description>Explore the powerful features and use cases of AWS SageMaker in this comprehensive blog post. Learn how SageMaker streamlines the process of building, training, and deploying machine learning models, reducing the time to production. Discover its notable features, including infrastructure/resource management, experiment management, the SageMaker Python SDK, and more. Gain insights into the cost and learning curve of using SageMaker, and compare it with competitors like Google Cloud Datalab and Microsoft Azure Machine Learning Studio</description></item></channel></rss>