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LEARN, CONNECT, BUILD

Microsoft Reactor

Join Microsoft Reactor and engage with developers, entrepreneurs, and startups live

Ready to get started with AI and the latest technologies? Microsoft Reactor provides events, training, and community resources to help developers, entrepreneurs and startups build on AI technology and more. Join us!

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Visual Machine Learning using Azure ML

6 April, 2023 | 3:00 PM - 4:00 PM (UTC) Coordinated Universal Time

  • Format:
  • alt##LivestreamLivestream

Topic: Data Science & Machine Learning

Language: English

This session is part of Game of Learners Clinics for AI and ML Series, learn more and register for the events here: Game of Learners Clinics for AI and ML Series

What is this session about?
In this session, we will dive deeper into machine learning and explore how to build and deploy machine learning models using Azure. We will cover the data preparation process, several types of machine learning algorithms, and how to evaluate and deploy your models in Azure.

Who is it aimed at?
The Game of Learners sessions are designed for students and individuals who are interested in learning about Azure AI and building end-to-end AI solutions. Whether you are new to AI or have some experience, these sessions will provide you with hands-on experience and practical knowledge of key AI concepts, tools, and processes. By the end of the sessions, you will be equipped with the skills and knowledge needed to build intelligent applications using Azure AI services, and have a better understanding of how to use AI to solve real-world problems.

Why should members attend?

By the end of the session, you will have a solid understanding of the machine learning process and how to use Azure to build and deploy your own models.

Continue the learning journey: Microsoft Azure AI Fundamentals: Explore visual tools for machine learning

Speaker: Josh Ndemenge

Josh is a Cloud Developer Advocate at Microsoft in the Data Engineering and Analytics team with experience in data tools having spent his early career days in the IoT (internet of things) & AI (artificial intelligence) space. He is a passionate community tech lead who is passionate to teach and guide individuals interested in tech, especially around Data and Cloud Computing.

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