There is no doubt that Big Data is one of the most trending topics in the past few decades, you might for sure have heard a lot on this subject and the evolution of the related technologies, including but not limited to IoT, social media and some others in which took major role in big data scenarios.

One of the important aspect behind the journey of data insights is building a prediction model that could be consumed later for prediction purposes according to specific business need.

Azure Machine learning is a cloud based PaaS service that will facilitate all the processes behind the prediction aspect in terms of building, publishing, consuming machine learning algorithms. It has an embedded and readymade components for the most commonly known algorithm, beside a powerful option for injection a notebooks that could use the common languages behind machine learning such as R and Python, at the end this service provides an easy way to integrate with existing echo system.

In this session attendee will have a walkthrough in all aspects behind the Azure Machine learning, this will provide a 360° point of view on all of the aspects behind the service. As an input the data insight process, where machine leaning stands within this echo system and the common known algorithm will be briefly explained. Azure machine learning provisioning, building algorithm, publishing it, and how to consume it in both data scenarios (in rest in motion) by showing the integrity between it and other services such as Azure Streaming Analysis and Azure Data Factory will be demonstrated.

Attendees and after the session will be able to build their own machine learning algorithms using Azure services and they will have a practice on how this could be integrated within their own solution(s).