Over past several years Azure Machine Learning has brought many capabilities into the cloud. Matt Wrinkler provides an excellent post on giving a status of where Azure Machine Learning is currently including what they have learned from their customers as well as exploring the newest capabilities.
The post, Diving deep into what’s new with Azure Machine Learning, provides a reflection on Machine Learning engagements to note some key trends as well as the design points that were considered in the latest capabilities:
- Experimentation Service - a service allowing for data scientists to increase their rate of experimentation
- Model Management Service - a service for model management of models in Azure, on-prem and IoT Edge devices
- Workbench - client application for managing ML projects
- Visual Studio Code Tools for AI - extension for modelling and experimentation