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AI and ML aim to create machines that can replicate or exceed human abilities by learning from data. ML enables systems to adapt and improve without explicit programming by recognizing patterns and minimizing errors through various learning methods. These techniques are applied across diverse areas, from voice recognition to medical diagnostics.

Machine Learning (ML) is a subset of artificial intelligence (AI) focused on algorithms that learn from data to perform tasks autonomously. ML enhances systems by identifying patterns, improving over time. While all ML is AI, not all AI involves ML, which also encompasses rule-based systems. Deep Learning is a specialized ML area using neural networks…

Artificial Intelligence (AI) encompasses the development of intelligent systems that mimic human capabilities. It divides into Narrow AI, which performs specific tasks, and theoretical General AI, which aims for broader understanding and adaptability. AI is revolutionizing industries, impacting daily life, and reshaping professional landscapes, emphasizing the need for awareness and integration of these advancements.