How Machine Learning Models Actually Work... the Easy Way

AI models autonomously make decisions or predictions without human intervention. They can be trained using algorithms which apply to inputs and generate desired outputs. Machine learning models, a subset of AI, improve their performance over time. AI models can be classified into supervised, unsupervised, and reinforcement learning based on their training methodologies. Additionally, models can be categorized as generative or discriminative, depending on their approach to predicting outputs. Models also vary by task, including classification or regression purposes, making them versatile for various applications from recommendation engines to natural language processing.