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Azure Machine Learning for Software Engineers
For many software engineers, machine learning and data science largely remains a mystery, even as the technology becomes more and more pervasive in business models, forecasting, predictive maintenance, and more.
In this session Dan Grecoe explains Azure Machine Learning through a comprehensive end-to-end example that he builds during the session and that encompasses: •Problem detection •Algorithm selection •Machine learning model creation and deployment as a RESTful web service •Consumption of the machine learning model
Kdy: Tue, 09 Jun 2015 17:00:00 GMT
Tue, 09 Jun 2015 17:00:00 GMT (UTC)