This presentation was done at the Azure Boot Camp 2017 in Singapore held on 23rd April 2017. This presentation covers an general introduction to machine learning and Azure Machine Learning Platform. To introduce the various features of the platform we make use of the Matchbox Recommender to build a collaborative filtering on the MovieLens dataset. We also obtain the state of art Normalized Discounted Cumulative Gain (NDCG) of 0.92 without supplementing any additional user data or movie tags. We just use the movie ratings as the base. I also show how to build an intuition for the recommendation systems using an Excel Worksheet and show how the latent factors in the recommendation systems are built and what the algorithm does to obtain an optimal solution. The link to the Excel Worksheet will be made available after the session is over.