Machine Learning Study Jams - Introduction to Machine Learning

Lesotho Room, African Leadership University, Kigali, 1

In our upcoming session, we're diving into the world of Machine Learning, and we can't wait to have you join us! πŸ€–βœ¨

Mar 8, 1:00 – 3:00 PM

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Key Themes

Career DevelopmentDuetAIExplore MLGeminiKaggleML Study JamMachine Learning

About this event

 Ready to level up your Python skills and dive into the exciting world of Machine Learning? 

Or perhaps you're new to programming altogether and eager to learn more? 

Introduction to Machine Learning session is made just for you!!πŸš€πŸŽ―

In our upcoming session we we'll build upon the Python foundation we've established in our previous events.

From understanding the basics of AI, exploring various Machine Learning algorithms and seeing the practical application of Python in creating solutions all around us! 

Key Topics: πŸ”

  1. AI/ML Basics: Gain insights into the fundamental concepts of Machine Learning
  2. Machine Learning Algorithms: Explore a variety of Machine Learning algorithms: supervised, unsupervised to reinforcement learning and learn how they're applied in real-world scenarios.

Feel free to bring along any questions or curiosities from our previous sessions; we're here to support your learning journey every step of the way! πŸŒ±πŸ’‘

RSVP now to secure your spot and tag a friend along!

Let's learn and grow together! πŸŒ±πŸ’‘

When

When

Friday, March 8, 2024
1:00 PM – 3:00 PM UTC

Facilitator

  • Wubeshet Yimam

    AI/ML Lead

Organizers

  • Kezia Wahome

    African Leadership University

    GDSC Lead

  • Pelin Mutanguha

    African Leadership University

    Faculty Advisor

  • Mike Kiplangat

    Chapter Core Lead

  • Wubeshet Yimam

    AI/ML Lead

  • Eunice Adewusi

    Nexo Girls

    Hubs and External Communication Coordinator

  • Chambeline Nkah

    Crowdsource Influencer

  • Favour Akinwande

    Events and Organizating Coordinator

  • Charity Ineza

    Operations and Team Communications Coordinator

  • Dean Daryl Murenzi

    UI/UX Lead

  • Tito-Paris Olisakwe

    Alu

    Android development lead

  • Jeffrey Dauda

    Web development Lead

  • Kingdavid Chukwumere

    Horus Hathor

    AR/VR lead

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