The third installment of the AI-900 exam prep series from TechBytes by Sam covers foundational machine learning concepts essential for the Microsoft Azure AI Fundamentals certification. The video explains the differences between reinforcement learning, classification, and regression, along with the importance of training and validation datasets.
Reinforcement learning involves an agent that learns to make decisions by performing actions and receiving rewards or penalties. Classification predicts discrete categories (e.g., spam or not spam), while regression predicts continuous numerical values (e.g., house prices). The video also emphasizes why splitting data into training and validation sets is critical to evaluate model performance and avoid overfitting.
This tutorial is part of a series aimed at helping candidates pass the AI-900 exam and gain a solid understanding of Azure AI fundamentals.