Neural Networks are computational models inspired by the human brain's structure, consisting of interconnected nodes (neurons) that process data through weighted connections. They learn patterns and relationships within data by adjusting these weights during training. Neural Networks are fundamental in machine learning, enabling tasks like image recognition, natural language processing, and predictive analytics by approximating complex functions.