Artificial Intelligence & Machine learning: making the distinction





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Artificial intelligence (AI) and machine learning (ML) are closely related but distinct fields. AI is a broad term that refers to the ability of machines to mimic human intelligence, such as the ability to learn, reason, and adapt to new situations. It encompasses a wide range of





technologies, from simple rule-based systems to more advanced techniques such as neural networks and deep learning.


Machine learning, on the other hand, is a specific subset of AI that focuses on the development of algorithms and statistical models that enable machines to learn and improve from experience, without being explicitly programmed. In simpler terms, Machine Learning is a technique of teaching computers to learn from data, without being explicitly programmed.


There are several types of machine learning such as supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning.


In summary, AI is the overarching field that includes machine learning as a subset. Machine learning is a specific technique for achieving AI through the use of algorithms and statistical models that enable machines to learn from data.