Machine learning applications make everyday life more efficient and convenient. For example, recommendation systems used by streaming services like Netflix or music platforms analyze user preferences to suggest content tailored to individual tastes. This enhances user experience by making discovering new content easier and more engaging. Additionally, virtual assistants like Google Assistant or Siri use machine learning to improve speech recognition and context understanding, allowing users to interact with devices naturally. These systems continuously learn from user interactions, making them smarter over time and seamlessly integrating into daily routines, thereby transforming how we consume digital media and manage tasks.