Theme: "Teaching, Not Programming: The ML Foundation"

Join GDG Kisii for an engaging deep dive into the mental models behind Machine Learning. This session is designed for the curious; those who want to understand the why before the how. Before we touch complex algorithms, we need to master the logic of how machines actually learn.

What We’ll Explore:

• The Paradigm Shift: Why ML isn't just "better programming," but a fundamental move from writing rules to discovering patterns.

• The Big Three: A clear breakdown of Supervised, Unsupervised, and Reinforcement Learning.

• The Blueprint: A walkthrough of the end-to-end ML pipeline, from raw data and feature engineering to evaluation and real-world deployment.

• The Goldilocks Problem: Understanding Overfitting vs. Underfitting, the art of building models that are "just right."

• ML in Practice: We’ll use Linear Regression (the ‘Hello World’ of ML) to provide a visual intuition of how models fit data.

The Goal:

By the end of this session, you’ll stop thinking like a coder and start thinking like a teacher. You will understand what problems ML can solve and exactly how the "learning" happens.

Don’t miss this opportunity to kickstart your ML journey with a rock-solid foundation!