Introduction
Big Idea 3 focuses on the concept of learning in artificial intelligence, emphasizing how computers can learn from data. Machine learning, a subset of AI, utilizes statistical inference to identify patterns within data. This approach has seen significant advancements in various AI domains, driven by learning algorithms that create new representations. For effective machine learning, vast amounts of training data are essential, often provided by humans, although machines can sometimes acquire data independently. This section also includes a draft progression chart for educators and invites feedback to enhance the learning framework.