Machine learning is a hot topic today. In case you’ve been living under a rock, machine learning is a method of data analysis that automates analytical model building. This branch of artificial intelligence is based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
In a recent webinar, Andie Letourneau dug into machine learning and taught how to get started using Azure ML. Azure Machine Learning is an integrated, complete data science and advanced analytics solution that allows data scientists to prepare data, deploy models in the cloud, and develop experiments.
In this session, Andie goes over machine learning algorithms such as regression, classification, and anomaly detection, as well as the steps of machine learning. She’ll teach you how to get started using Azure ML with a demo guiding you through the steps to prepare data for use by an Azure Machine Learning Studio experiment, choose algorithms for analysis, train a machine learning model, and deploy a trained model to make predictions.
If you want to get started using Azure ML, this free webinar is for you – watch it here. For the slides from the webinar, click here. Data scientists are coming up with more uses for machine learning all the time; don’t get left behind.
Check our website for our schedule and to sign up for our complimentary weekly webinars.
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