Overview of AI and ML

Get an overview of AI and ML, including key concepts, techniques, model-building phases, and evaluation methods for solving real-world problems.

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Artificial intelligence (AI) has come a long way since its inception. The concept of AI dates back to the 1950s when Alan Turing, a British mathematician, proposed the idea of a machine that could simulate human intelligence. Over the decades, AI has evolved from simple rule-based systems to complex neural networks that can learn, adapt, and solve problems in ways that mimic human behavior.

Machine learning (ML) emerged as a powerful approach in the 1980s with the advancements in algorithms that enable machines to learn from data rather than relying on explicit programming. Deep learning, which builds on neural networks with multiple layers, has revolutionized the field in recent years, leading to significant breakthroughs in areas such as image and speech recognition.

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