Machine Learning in IoT

Machine learning in IoT (Internet of Things) refers to using advanced algorithms that allow devices to analyze data and learn from it, improving their performance over time without being explicitly programmed. IoT devices, like smart thermostats or wearable health monitors, collect large amounts of data from their environment or users. Machine learning processes this data to recognize patterns, make predictions, and optimize device functions. This enables smarter, more efficient systems that adapt to changing conditions, enhance user experiences, and support proactive decision-making in various applications such as home automation, healthcare, and industrial management.