Three new stories about Microsoft ML and Advanced Analytics.
The oil and gas industry’s supply chain starts in some of world’s most remote areas and serves consumers globally in all the places where the finished product gets consumed. The industry depends on complex and expensive equipment from hundreds of manufacturers to extract, move, refine and sell fuel 24 hours a day. One challenge and a significant opportunity for the industry is to monitor these assets and use sensor data to improve the efficiency of the system and enable innovation. Learn about how Rockwell Automation is using Azure and Machine Learing to take advantage of the Internet of Things (IoT) to bring its vision for The Connected Enterprise to life. In doing so, they are building intelligence that is transforming the petroleum supply chain, bringing enhanced productivity from the fuel source to the pump.
Oliver Chiu talks about how Microsoft is making developers more productive with “big data” by adding additional tooling for HDInsight in Visual Studio as part of recent updates to the Azure SDK. These new VS extensions help developers to visualize their Hadoop clusters, tables and storage in familiar tools. You can now create and submit ad hoc Hive queries for HDInsight directly against a cluster from within VS, or build a Hive application that is managed like any other VS project.
Co-authored by Microsoft insiders Valentine Fontama and Wee Hyong Tok, this new book provides an introduction to data science and ML with a focus on building and deploying predictive models. It explains the concepts of predictive analytics and ML through practical tasks and applications. Readers need to have a basic knowledge of statistics and data analysis, but not deep experience in data science. Advanced programming skills are not required either, although some R experience would prove handy.
ML Blog Team