What is Azure ML?
Before we dive into the particulars of machine learning on the Azure platform, let’s step back a minute and talk about some of the features, capabilities, and goals of Azure ML.
Azure ML enhances the capabilities and efficiency of machine learning workloads through a comprehensive range of tools and features:
- Centralized data management: Azure ML offers a unified repository for storing and managing datasets, facilitating easy access and reuse across various machine learning projects. This centralized storage supports efficient data handling for both model training and evaluation, streamlining the data preparation process.
- Scalable compute resources: Azure ML provides on-demand compute resources tailored for machine learning tasks. Users can leverage these resources to run extensive machine learning jobs, including model training and batch inferencing, without the need for upfront hardware investments. This flexibility allows for cost-effective...
