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Tuesday, May 23 • 13:45 - 14:45
Azure Machine Learning

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Machine learning, which facilitates predictive analytics using large volumes of data by employing algorithms that iteratively learn from that data, is one of the fastest growing areas of computer science. Its uses range from credit-card fraud detection and self-driving cars to optical character recognition (OCR) and online shopping recommendations. It makes us smarter by making computers smarter. And its usefulness will only increase as more and more data becomes available and the desire to perform predictive analysis from that data grows, too.

Azure Machine Learning is a cloud-based predictive-analytics service that offers a streamlined experience for data scientists of all skill levels. It's accompanied by the Azure Machine Learning Studio (ML Studio), which is a browser-based tool that provides an easy to use, drag-and-drop interface for building machine-learning models. It comes with a library of time-saving experiments and features best-in-class algorithms developed and tested in the real world by Microsoft businesses such as Bing. And its built-in support for R and Python means you can build custom scripts to customize your model. Once you've built and trained your model in the ML Studio, you can easily expose it as a Web service that is consumable from a variety of programming languages, or share it with the community by placing it in the Cortana Intelligence Gallery.

In this presentation, we will use Azure Machine Learning to build, train, and score a model that recognizes hand-written numeric digits. We’ll use a real OCR data set published for academic research. After deploying the model as a Web service, We’ll will write a Universal Windows Platform (UWP) client for it that lets you sketch digits on the screen and then consult Azure Machine Learning to see if it can identify the digits you sketched. You'll learn how to build and train a model, as well as how to write code that leverages the model.

Speakers
avatar for Todd Fine

Todd Fine

CEO, Wintellect
Todd Fine is CEO of Wintellect. His responsibilities encompass all aspects of day-to-day operations, including revenue and profitability, management of business processes, quality of delivered services, client relationships, and maintaining Wintellect's culture of excellence. Prior... Read More →


Tuesday May 23, 2017 13:45 - 14:45
Room 4