There have been many advances in software tools for machine learning and data analytics. We will explore and list some of them here.
Several of our projects looked at machine learning and its application. One project looked at using a small device on the edge and forwarding tasks to the cloud for evaluation. This was Raspberry meets Project Oxford: IoT & Judging a Book by Its Cover.
We also looked at using Azure ML for a document classification experiment in the posts Cloud SaaS: Machine Learning with Azure ML and Processing Scholarly Event Streams in the Cloud and Streaming Events to AzureML Through Azure Stream Analytics. The topic of using deep learning in the cloud is one that is very popular. The link below takes you to that page.