**Both sessions will be in english**
Session 1 by, Rahat Yasir
Title: Transfer Learning in Azure DSVM
In this session, will talk about developing a Transfer Learning model in Azure Data Science Virtual Machine platform. Transfer learning is taking us towards the concept of Artificial General Intelligence where we can use existing knowledge and pre-trained network to design a similar domain specific solution. We will talk about different scenarios and demos of TL.
Bio: Rahat Yasir is Microsoft MVP in Artificial Intelligence. He got Canada's Dev 30 under 30 Award for 2018. He is currently working at Intact Financial Corp as Machine Learning and AI Engineer.
Session 2 by Frédéric Simard and Thiery Le Luron Nadieline
TITLE: Building and Deploying a Predictive Model in AzureML
It's time to delve into the practical aspects of AI, so we're going to show you how to build a predictive model, train it and deploy it using Machine Learning Studio. Are you ready for the next step?
BIO: With over 17 years of experience in software development, Frédéric Simard is known for his passion for software architecture, artificial intelligence and best practices. He's currently finishing a Master's degree in Software Engineering with an AI project built on human behaviour modelling that uses BDI agents.
Thiery Le Luron Nadieline has 5 years of experience on Data analysis and BI projects. During that time he has mainly worked on projects involving Microsoft Data tools like SSIS, SSAS, SSRS , PowerBI , TFS and SharePoint to perform end users reports , dashboards, and more.