Azure ML Workspace: Harmony of No-code and Developer Experience - AI42 - S02 Ep. 06

Azure ML workspace is a multi-user environment for the aim of machine learning. In this session, the audience will learn how to use Azure Machine learning with a no-code environment using Auto ML or drag and drop environment to create a customized machine learning solution. And finally, how to use python inside Azure ML notebook for customizing machine learning development. This session provides an overview of three main authoring machines learning as Automated ML, Notebook, and Azure ML designer.

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Ai Fortytwo
Ai Fortytwo
AI42 (AI is the answer to all your questions) is an organization that consists of a strong team of two AI MVPs (Microsoft Most Valuable Professional). Together we provide a valuable series of lectures to people who would like to start their career in the field of Data Science and Artificial Intelligence (AI).Our concept is to involve professionals in the field to contribute as speakers at our events, some of our approved speakers are employees of Microsoft. We provide topics which finally allows our students to get a deep, hands-on knowledge in mathematics, statistics, probability, data science and machine learning pipelines. With the help of these lectures our students learn the background required to build a Data Scientist career. The availability and responsibility of the tools and services we discuss during the sessions make our students build trust towards AI.Our streams are going to be available at different platforms: YouTube, Twitch, Facebook, and Twitter.YouTube: https://www.youtube.com/channel/UCYSVVM0ASUGDTeontl4pbxA/Twitch: https://www.twitch.tv/ai42Facebook: https://www.facebook.com/ai.fortytwoTwitter: https://twitter.com/aifortytwo
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