Learning Systems

Learning systems are frameworks that enable machines or programs to improve their performance over time through experience. They analyze data, recognize patterns, and adapt their actions or decisions accordingly, much like how humans learn from practice. These systems are fundamental to technologies like recommendations, speech recognition, and autonomous vehicles, as they enhance functionality by continuously updating their knowledge base without explicit reprogramming. In essence, learning systems mimic the adaptive nature of human learning, allowing machines to become more accurate and efficient through ongoing interaction with data.