Machine Learning in Communication

Machine learning in communication refers to using algorithms that enable computers to automatically improve their understanding and responses over time by analyzing large amounts of data. It enhances systems like virtual assistants, chatbots, and language translation tools, allowing them to interpret messages, recognize patterns, and generate appropriate responses without being explicitly programmed for every task. Essentially, it helps machines learn from experience to communicate more effectively, making technological interactions smoother, more natural, and adaptable to individual needs.