Machine Learning Fundamentals

5-6 weeks

LearningPerception

Overview

Students move from understanding data to understanding how AI systems learn from data through machine learning. Using visual, block-based tools and simple interactive demos, they train neural networks to recognize patterns, experiment with different parameters, and observe how training curves respond to changes. They build intuition for overfitting, underfitting, and the learning process.

Learning Objectives

1
Understand that machine learning is an automated process where an AI system improves by seeing examples
2
Train a simple neural network model using visual tools and observe how accuracy improves with more training
3
Experiment with hyperparameters and interpret how changes affect model performance
4
Recognize signs of overfitting and underfitting in a trained model

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