What's the difference between Machine Learning and AI?

Machine Learning (ML) and Artificial Intelligence (AI) are interconnected fields, but they represent different aspects within technology and computer science.

Artificial Intelligence (AI) is a broad concept that encompasses the development of machines or systems that can perform tasks that typically require human intelligence. AI aims to simulate intelligent behavior in computers. It includes various techniques, methodologies, and approaches to enable machines to learn from experience, adjust to new inputs, and perform human-like tasks.

Machine Learning (ML) is a subset or application of AI that focuses on the development of algorithms and statistical models. These algorithms enable computers to learn from data, identify patterns, make decisions, and improve their performance over time without being explicitly programmed for each task. ML algorithms learn from data, recognize patterns, and use these insights to make predictions or decisions.