In this video tutorial we are going to build a simple Coffee House Azure Machine Learning Recommendation Service using Azure Machine Learning Studio. The following tutorial was presented as a workshop I hosted for Hour of Code in December 2018 entitled Create a Coffee House Recommendation Service in 60 minutes. If you are not familiar with Azure Machine Learning Studio read the Getting Started with Azure Machine Learning Studio tutorial to learn a little bit about machine learning and how to use the Azure Machine Studio Service.
Download the datasets
We are going to use some sample datasets I created for the recommendation service. Download the datasets from here and save them to your computer.
Follow the video tutorial
If you are not familiar with the Azure Machine Learning modules or need more details go to this post for a detailed explanation of all the components.
Georgia Kalyva is a Microsoft AI MVP with years of experience in software engineering and is currently working for ITT as Web Applications Developer. She is passionate about AI and Azure and has represented Greece in global competitions in Technology and Entrepreneurship. She is also a member of the Microsoft Student Partners team and has taken over the role of mentor in several Microsoft competitions and trainings.