Predicting House Prices with Azure Machine Learning
Everyone’s talking about ML, but what is it?
We’ll start off with a brief explanation of ML, including an overview of the different types (supervised, unsupervised, reinforcement) and algorithms (clustering, classification, regression, anomaly detection).
The majority of the time will be spent giving a detailed demo using Azure ML Studio to create a model for accurately predicting house prices based on their various qualities. This data will be exposed via a web service allowing for single requests as well as batch execution for large data sets.
You’ll leave with a good understanding of Azure ML and how you can use Azure ML Studio to build your own predictive models
