Supervised and Semi-Supervised Learning: two methods that help AI learn efficiently. Using the example of teaching a computer to recognize cats and dogs, we show how Supervised Learning uses tons of labeled data, while Semi-Supervised Learning only needs a few labeled examples, allowing the computer to guess the rest based on patterns. Whether it’s identifying pets in photos or filtering spam emails, these learning types are key to making AI smarter, faster, and more resourceful.