The goal of the vast field of artificial intelligence (AI) is to build systems that can simulate human intelligence in order to perform activities like thinking, problem-solving, and decision-making. A branch of artificial intelligence called machine learning (ML) enables computers to learn and get better from data without the need for explicit programming. ML focuses on algorithms and models for data-driven learning, whereas AI covers the overarching objective of intelligent behavior. While machine learning (ML) concentrates on methods like supervised, unsupervised, and reinforcement learning, artificial intelligence (AI) encompasses fields like robotics, natural language processing, and expert systems. Consider taking an AI and machine learning course to become an expert in both areas.

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