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OBJEVTE, PŘIPOJTE SE, ZVĚTŠUJTE SE

Microsoft Reactor

Připojte se k Microsoft Reactoru a živě se obraťte na startupy a vývojáře.

Jste připravení začít s AI? Microsoft Reactor poskytuje akce, školení a komunitní zdroje, které pomáhají začínajícím podnikům, podnikatelům a vývojářům rozvíjet své další podnikání na technologiích AI. Připojte se k nám!

OBJEVTE, PŘIPOJTE SE, ZVĚTŠUJTE SE

Microsoft Reactor

Připojte se k Microsoft Reactoru a živě se obraťte na startupy a vývojáře.

Jste připravení začít s AI? Microsoft Reactor poskytuje akce, školení a komunitní zdroje, které pomáhají začínajícím podnikům, podnikatelům a vývojářům rozvíjet své další podnikání na technologiích AI. Připojte se k nám!

Zpět

Machine Learning for Evolving Applications (3/3): Building Models

18 dubna, 2023 | 11:00 dop. - 12:00 odp. (UTC) Koordinovaný univerzální čas

  • Formát:
  • alt##LivestreamLivestream

Téma: Datová Věda a Učení stroje

Jazyk: Angličtina

The Machine Learning series aims to provide you with a framework to help build your knowledge by learning important concepts in Machine Learning. It starts with learning the fundamental concepts, essential applications, and use-cases of machine learning, exploring the various algorithms, classification vs. regression, building machine learning models, and finally, exploring Machine learning in Azure.

In the last session, we will apply all the knowledge we’ve learned and put it into practice by looking at a hands-on project and building a model using Machine Learning.

By the end of this series, you will be able to:

  1. Master the concepts of supervised, unsupervised and reinforcement learning concepts
  2. Understand the principles, algorithms, and applications of Machine Learning through a hands-on approach
  3. Understand how machine learning concepts are applied in different fields

Learning Resources:
GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Understand data science for machine learning - Training | Microsoft Learn

Who is it aimed at?
This session is aimed at all students/learners wishing to start their learning journey into Machine Learning.

Speaker: Hadeel Shubair

Speaker Bio: Hadeel is a Regional Cloud Advocate and Data Analytics Engineer for Microsoft, Middle East/Africa region. She holds a Master’s degree in Data Analytics and is passionate about learning and sharing her knowledge on tech topics including Data Analytics, AI, & ML. Before joining Microsoft, Hadeel held several appointments and roles including Google Women in Tech scholar through which she delivered several sessions to the community to motivate and empower young talents. Hadeel also served as part of the Data & Communications team overlooking the organization of the World Government Summit. On the other side, while at University, Hadeel chaired the Women in Engineering club, and was the Chief Editor of the Engineering Newsletter. As a Cloud Advocate for the Microsoft Reactor, Hadeel’s main goal is to take you on a journey to understand & learn more about Data and AI concepts and applications. She's passionate about technology, education, & growing the Data & AI community across the region.

Reproduktory

Pokud máte dotazy, kontaktujte nás na adrese reactor@microsoft.com