How Machines Learn: Training Data & Models Explained | AI Explained #2

How Machines Learn: Training Data & Models Explained – episode 2 of AI Concepts Explained, a free beginner-friendly artificial intelligence and machine learning course by Irfan Hayat. How does a machine actually learn? Irfan Hayat explains training data, features, labels, models, loss and testing with animated diagrams, then trains a real model in a few lines of Python. What you'll learn • Data, features and labels • What a model really is • Training as error reduction • Train/test split and why it matters • Training a simple model in Python Chapters 00:00 Intro 01:00 Data, features and labels 02:11 What is a model? 03:19 Training: measure the error, adjust 04:33 Training a model in Python 05:42 Why we test on unseen data 06:44 Recap 07:38 Next: Types of learning Altered or synthetic content: The presenter visuals and narration in this video are AI-generated/AI-assisted from the instructor's own photo and an original teaching script. All diagrams, code, and explanations are original. Family-friendly educational content. No music, third-party footage, or logos are used. #MachineLearning #ArtificialIntelligence #Python