Hadeel Shubair
TBD
APPRENDRE, SE CONNECTER, CRÉER
Prêt à bien démarrer avec l’IA et les dernières technologies ? Microsoft Reactor fournit des événements, des formations et des ressources communautaires pour aider les développeurs, les entrepreneurs et les start-ups à se baser sur la technologie IA et bien plus encore. Rejoignez-nous !
APPRENDRE, SE CONNECTER, CRÉER
Prêt à bien démarrer avec l’IA et les dernières technologies ? Microsoft Reactor fournit des événements, des formations et des ressources communautaires pour aider les développeurs, les entrepreneurs et les start-ups à se baser sur la technologie IA et bien plus encore. Rejoignez-nous !
10 avril, 2023 | 11:00 AM - 12:00 PM (UTC) Temps universel coordonné
Thème: Science des données et Machine Learning
Langage: À l’aide de la langue anglaise
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.
The first session provides a general overview and gives a brief introduction to the field of Machine Learning. We will explore the machine learning process, learn about the types of machine learning, supervised vs. unsupervised learning, applications, and use-cases, how to get started in this vital field, and many more.
By the end of this series, you will be able to:
Master the concepts of supervised, unsupervised and reinforcement learning concepts
Understand the principles, algorithms, and applications of Machine Learning through a hands-on approach
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.
Intervenants
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Format:
Stream en direct
Thème: Science des données et Machine Learning
Langage: À l’aide de la langue anglaise
Format:
Stream en direct
Thème: Science des données et Machine Learning
Langage: À l’aide de la langue anglaise
Cet événement fait partie du Machine Learning for Evolving Applications Series.
Cliquez ici pour accéder à la page Série où vous pouvez voir tous les événements à venir et à la demande.