Machine Learning (ML) is a subset of artificial intelligence (AI) that enables computer systems to learn and improve from experience without being explicitly programmed. It involves the development of algorithms that allow computers to analyze data, identify patterns, and make decisions or predictions based on that data. ML algorithms are trained using large amounts of data, which enables them to recognize patterns and relationships and make decisions or predictions with increasing accuracy over time. In the context of chatlyn, machine learning algorithms power various features such as language understanding, sentiment analysis, and personalized recommendations, enhancing the platform's capabilities in understanding and responding to user inquiries effectively.
What is machine learning?
Machine learning is a subset of artificial intelligence (AI) that enables computer systems to learn and improve from experience without being explicitly programmed. It involves the development of algorithms that allow computers to analyze data, identify patterns, and make decisions or predictions based on that data.
How does machine learning work?
Machine learning works by training algorithms on large datasets to recognize patterns and relationships within the data. These algorithms then use this learned knowledge to make predictions or decisions when presented with new, unseen data.