In this article we are going to learn the following - What is Anaconda? How to Download Anaconda? And, Installing and setting up Anaconda environment.
Here, we’ll go through the MLOps services offered by Microsoft Azure. MLOps is a huge part of any project enabled with Machine Learning. Recently, there has been news of a new startup by Andrew Ng called Landing AI getting $57 Million in Series A function to build a new data-centric MLOps platform. This is the scope and importance of MLOps. MLOps Capabilities offered by Azure ML Azure ML provides a range of functionalities. First of all, Azure supports the creation of reproducible ML Pipelines. You can read the previous article, Azure Machine Learning Pipelines to learn about Azure ML pipelines and Azure Machine Learning - Create ML Workspace And Compute Cluster to create ML workspace in Azure. Moreover, reusable software environments can be created with Azure. Furthermore, registering, packaging, and deployment of the model can be done from anywhere. Moreover, the governance data can be captured for the end-to-end ML lifecycle. Also, on all events, alerts, and notification can be