Machine learning (ML) is a subset of artificial intelligence (AI). AI encompasses a broad field of computer science focused on creating systems that can perform tasks that typically require human intelligence. This includes areas such as natural language processing, computer vision, robotics, and more.
Within the realm of AI, machine learning specifically focuses on developing algorithms and models that enable computers to learn from data and improve their performance over time without being explicitly programmed. In other words, machine learning algorithms enable systems to recognize patterns, make predictions, and adapt their behavior based on the data they are exposed to.
In essence, machine learning is a key tool used in the development of AI systems. It enables AI systems to analyze large volumes of data, extract meaningful insights, and make autonomous decisions or take actions based on those insights. Therefore, while AI is the overarching concept of creating intelligent systems, machine learning serves as one of the primary techniques for achieving AI capabilities.
Within the realm of AI, machine learning specifically focuses on developing algorithms and models that enable computers to learn from data and improve their performance over time without being explicitly programmed. In other words, machine learning algorithms enable systems to recognize patterns, make predictions, and adapt their behavior based on the data they are exposed to.
In essence, machine learning is a key tool used in the development of AI systems. It enables AI systems to analyze large volumes of data, extract meaningful insights, and make autonomous decisions or take actions based on those insights. Therefore, while AI is the overarching concept of creating intelligent systems, machine learning serves as one of the primary techniques for achieving AI capabilities.