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Construa Aplicativos Nativos na Nuvem

Pronto para a IA? Descubra como construir e escalar aplicativos nativos em nuvem com Azure.

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Microsoft Reactor

Junte-se ao Microsoft Reactor e interaja com os desenvolvedores ao vivo

Pronto para começar a usar a IA e as tecnologias mais recentes? O Microsoft Reactor fornece eventos, treinamento e recursos da comunidade para ajudar desenvolvedores, empreendedores e startups a desenvolver a tecnologia de IA e muito mais. Junte-se a nós!

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Microsoft Reactor

Junte-se ao Microsoft Reactor e interaja com os desenvolvedores ao vivo

Pronto para começar a usar a IA e as tecnologias mais recentes? O Microsoft Reactor fornece eventos, treinamento e recursos da comunidade para ajudar desenvolvedores, empreendedores e startups a desenvolver a tecnologia de IA e muito mais. Junte-se a nós!

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Zero Code Solutions: Azure Machine Learning Studio

9 março, 2022 | 1:00 AM - 2:00 AM (UTC) Tempo Universal Coordenado UTC

  • Formato:
  • alt##LivestreamTransmissão ao vivo

Tópico: Aplicativos inteligentes (desenvolvimento Web + serviços de IA)

Linguagem: Inglês

Artificial Intelligence is growing at an unprecedented rate today. The availability of data and compute resources is making AI more accessible to everyone. Azure Machine Learning Studio provides a comprehensive platform for all skill levels – whether you have never created any ML models before or are an experienced data scientist. We will go through the overall platform with a focus on Designer and AutoML. These features were created as a no-code, visual drag and drop authoring interface to make these new advances in AI more readily available and accessible to everyone – regardless of your background. We will be going through an end to end demo on how to create and use a solution - with minimal coding.

Additional learning here:
https://aka.ms/azuremlserviceaisolutions

Your Speaker
Akanksha is a Microsoft AI MVP, an international speaker and a Managing Consultant at Altis Consulting. After studying Financial Maths and Actuarial Science at UCC, Ireland, she realised she wanted to work with people as well as numbers. At Altis, she is working with clients to help them solve problems by making more informed decisions with data. She is a firm believer of diversity and inclusivity. She loves machine learning, and that it is becoming more accessible to everyone. She is an avid advocate for women in STEM and is currently the network director of Women Who Code Melbourne. Akanksha is also a current board member of Global AI Community, a free platform that connects AI enthusiasts to experts.

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