AI (Artificial Intelligence) is the science of creating computer systems that can think, learn, and interact with humans in a natural, intelligent way. AI can be used to solve problems, understand the environment, and even create new products and services. AI algorithms can be used to analyze data and make predictions, allowing computers to make decisions without human intervention. AI can also be used to automate tasks, such as recognizing images or analyzing natural language.
ML (Machine Learning) is a subset of AI that focuses on developing algorithms that can learn and improve over time. ML algorithms are designed to learn from data and improve their performance as they are exposed to more and more data. These algorithms can be used to make predictions and decisions based on data.
In conclusion, AI is a broader technology that encompasses many different technologies, including Machine Learning, while Machine Learning is a subset of AI. AI is focused on creating systems that can think, learn, and interact in a natural, intelligent way, while Machine Learning is focused on developing algorithms that can learn from data and improve their performance over time.
ML (Machine Learning) is a subset of AI that focuses on developing algorithms that can learn and improve over time. ML algorithms are designed to learn from data and improve their performance as they are exposed to more and more data. These algorithms can be used to make predictions and decisions based on data.
In conclusion, AI is a broader technology that encompasses many different technologies, including Machine Learning, while Machine Learning is a subset of AI. AI is focused on creating systems that can think, learn, and interact in a natural, intelligent way, while Machine Learning is focused on developing algorithms that can learn from data and improve their performance over time.