Artificial Intelligence VS Machine Learning.

Artificial Intelligence (AI) and Machine Learning (ML) are related but distinct fields of study and technology.

AI is a broad field that refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. It encompasses a wide range of technologies and techniques, including natural language processing, computer vision, and decision-making. AI systems can be designed to perform a wide range of tasks, from simple repetitive tasks to more complex, open-ended problem-solving.

ML, on the other hand, is a specific subfield of AI that deals with the development of algorithms and statistical models that enable computers to learn from data, without being explicitly programmed. It is a way of achieving AI, by providing machines with the ability to learn from data and make decisions based on that learning.

In simpler terms, AI is the broader concept and ML is a method to achieve AI.

In summary, AI is the overarching field that encompasses ML and other related technologies, while ML is a specific technique used to achieve AI by allowing machines to learn from data.