Together, Microsoft and Strategy can help users create powerful, cloud-based machine learning applications through self-service analytics. Strategy Desktop™, combined with Microsoft Azure ML, uses a drag-n-drop interface so users can efficiently plan, create and glean insights from a predictive dashboard.
April 18-20 at Strategy World in Washington, DC, Microsoft will use a hands-on workshop to demonstrate how users can go from nothing to a fully-functional predictive data visualization built on machine learning within an hour. The three tools we’ll use are Microsoft R Open, Azure Machine Learning, and Strategy 10 Desktop.
We invite you to attend the session and see it in action first-hand. If you can’t make the trip to Strategy World, check out our step-by-step guide that we’ll review with the audience.
Sound like an easy way to begin using Machine Learning in your work? Here’s some more information on the three tools you need to get up and running in an hour.
Microsoft R Open
Microsoft R Open, formerly known as Revolution R Open (RRO), is the enhanced distribution of R from Microsoft Corporation. It is a complete open source platform for statistical analysis and data science. The current version, Microsoft R Open 3.3.2, is based on (and 100% compatible with) R-3.3.2, the most widely used statistics software in the world, and is therefore fully compatible with all packages, scripts, and applications that work with that version of R. It includes additional capabilities for improved performance, reproducibility, as well as support for Windows and Linux-based platforms.
Like R, Microsoft R Open is open source and free to download, use, and share. It is available from https://mran.microsoft.com/open/
Azure Machine Learning
Data can hold secrets, especially if you have lots of it. With lots of data about something, you can examine that data in intelligent ways to find patterns. And those patterns, which are typically too complex for you to detect yourself, can tell you how to solve a problem.
This is exactly what machine learning does: It examines large amounts of data looking for patterns, then generates code that lets you recognize those patterns in new data. Your applications can use this generated code to make better predictions. In other words, machine learning can help you create smarter applications. Azure Machine Learning enables you to build powerful, cloud-based machine learning applications.
Strategy Desktop
Enterprise organizations use Strategy Desktop to answer some of their most difficult business questions.
Available for Mac and PC, Strategy Desktop is a powerful data discovery tool that allows users to access data on their own and build dashboards. With Strategy Desktop, users can access over 70 data sources, from personal spreadsheets to relational databases and big data sources like Hadoop. With the ability to prepare, blend, and profile datasets with built-in data wrangling, users can go from data to dashboards in minutes on a single interface. Strategy Desktop allows departmental users to visualize information with hundreds of chart and graph options, empowering them to make decisions on their own.
Come join us at Strategy World or try the workshop out for yourself.
This post was originally published on the Microsoft Azure Blog. KB425290
