Getting Started with Azure Machine Learning with Pratheek Deveraj

Getting Started with Azure Machine Learning

Join Microsoft’s Pratheek Devaraj as he shows you how to get started with Azure Machine Learning.

Azure Machine Learning Service (AMLS) is a cloud-based environment where you can train, deploy, automate, manage, and track ML models. AMLS can be used for any kind of machine learning, from classical ML to deep learning, supervised, and unsupervised learning. Whether you prefer to write Python or R code with the SDK or work with no-code/low-code options in the studio, you can build, train, and track machine learning and deep-learning models in an Azure ML Workspace.

This video was recorded during the Calgary Azure Analytics User Group on Oct 2, 2020.

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Renata Kalsbeek is a Business Development Coordinator of Iteration Insights. Renata graduated with a B.Comm from Toronto Met, where she completed a double major in Marketing and Economics within 3 years. She is passionate about marketing strategy and planning and has developed an interest in leveraging marketing automation to run a lean marketing team.

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