AI is a broader field that encompasses any system that can reason, learn, and act autonomously.
ML is a subset of AI that focuses on the ability of machines to learn from data without being explicitly programmed.
Differences between AI and ML:
|Artificial Intelligence (AI)
|Machine Learning (ML)
|A broad field of computer science that seeks to create intelligent machines
|A subset of AI that focuses on the ability of machines to learn from data without being explicitly programmed
|To create machines that can think and act like humans
|To give machines the ability to learn and improve on their own
|A wide range of methods, including expert systems, natural language processing, and computer vision
|Algorithms that can learn from data, such as neural networks, support vector machines, and decision trees
|A wide range of applications, including robotics, healthcare, finance, and transportation
|A wide range of applications, including image recognition, natural language processing, and predictive analytics