Inside the Model: How Machine Learning Actually Learns

GDG on Campus Jomo Kenyatta University of Agriculture and Technology - Juja, Kenya

Explore the inner workings of machine learning at this hands-on event. Understand the learning loop, gradient descent, and the balance of overfitting vs. underfitting through a live code-along. Perfect for both beginners and those with some experience, this session enhances your grasp of what's happening under the hood as you navigate the ML/AI journey.

Sep 29, 2:30 – 4:30 PM (UTC)

26 RSVP'd

Key themes

About this event

Join us for a deep dive into what's actually happening when a model "learns."

We'll unpack the learning loop, demystify gradient descent, and break down overfitting vs. underfitting — with a live code-along so you see it happen in real time, not just on slides.

Whether you're just starting out or already tinkering with models, this session will sharpen your intuition for what's going on under the hood before you go further down the ML/AI roadmap.

Organizers

  • Geoffrey Owuor

    Campus Lead

  • Olive Kibichum

    Campus Co-lead

  • Millicent Morara

    Jomo Kenyatta University of Agriculture and Technology(JKUAT)

    JKUAT Karen Campus Lead

  • Hope Macharia

    PR Lead

  • Anilla Wambaki

    Women In Tech Lead

  • RHODAH MULERA

    Cloud Track Lead

  • Kelvin Gichinga

    Codeward

    AI/ML Track Lead

  • Terence Otieno

    Jomo Kenyatta University of Agriculture and Technology

    DevOPs Track Lead

  • Robert Toroitich

    Web Dev Track Lead

  • Lampard Kipyegon

    JKUAT

    Datascience Tack Lead

  • Lukas Enoch

    GDG JKUAT

    Blockchain Track lead

  • Jecinta King'athia

    UI/UX Track Lead

  • DANIEL NDUNGU

    Cyber Sec Track Lead

  • Ibrahim Gichemba

    IoT Track Lead

  • Davis Oute

    IoT Track Co-Lead

  • Christian Cheruiyot

    Mobile Dev Track Lead

  • Wangui Mwangi

    Data Science Track Co-lead

  • AUDRY SAISI

    Jomo Kenyatta University of Agriculture and Technology

    Co-Lead Data Science