Recently I did Machine Learning session at Global Azure Bootcamp 2019 –Colombo.
Session Topic- Building a Product Recommendation System using Azure Machine Learning
Recommender systems are one of the most successful and widespread application of machine learning technologies in business .
This session will focus on building a Product Recommendation System using Azure Machine Learning and deploying as a web service.
Microsoft Azure Machine Learning Studio is a collaborative tool use to build, test, and deploy predictive analytics solutions on your data.
Machine Learning Studio publishes models as web services that can easily be consumed by custom apps or BI tools.
Around 70 attended the session.
Recently I did Azure Machine Learning workshop at Microsoft Singapore.
Topics Covered –
– Introduction to Machine Learning.
– Introduction to Azure Machine Learning.
– Predicting Employee Churn using AML.
Around 90 IT professionals and students attended my session.
This workshop aims to enable participants with the knowledge to analyze and present data by using Azure Machine Learning,
and to provide an introduction to the use of machine learning and Cognitive Services.
– Introduction to Machine Learning
– Introduction to Azure Machine Learning
– Predicting Employee Churn using AML
This workshop is suitable for software developers, database developers, business intelligence analysts and IT professionals.
Date/ Time: 6 May 2019, 6.30pm to 9.00pm (registration starts at 6.15pm)
Location: Microsoft Singapore, Level 21, One Marina Boulevard Singapore 018989
About the speaker:
Uditha Bandara (MVP) specializes in Microsoft development, AI, Mobile App and Cloud technologies. He is the South East Asia’s First XNA/DirectX MVP (Most Valuable Professional). He had delivered sessions at various events and conferences in Hong Kong, Malaysia, Singapore, Cambodia, Indonesia, Myanmar, Bangladesh, Sri Lanka and India. He has published several books, articles, tutorials, and demos on his Blog – https://uditha.wordpress.com
Meetup event –