GalaxyonKnowledgeArtificial Intelligence (AI) and Machine Learning (ML) are two closely related but distinct fields in the realm of technology. AI encompasses the broader concept of creating machines capable of simulating human intelligence to perform tasks such as decision-making, problem-solving, and natural language processing. On the other hand, ML is a subset of AI that focuses on developing algorithms and statistical models that enable machines to learn from data and improve their performance over time without being explicitly programmed. While AI aims to replicate human cognitive functions, ML specifically revolves around training machines to recognize patterns in data and make predictions or decisions based on that information. Understanding the differences between AI and ML is crucial for professionals working in the tech industry to leverage the strengths of each field effectively and develop innovative solutions to complex problems.
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