How AI Differs From ML - DZone AI

#artificialintelligence 

AI is not a new term. It is multiple decades old, starting around the early 80s when computer scientists designed algorithms that could learn and mimic human behavior. On the learning side, the most significant algorithm is the neural network, which is not very successful due to overfitting (the model is too powerful and there's not enough data). Nevertheless, in some more specific tasks, the idea of using data to fit a function has gained significant success and this form the foundation of machine learning today. On the mimicking side, AI has focused a lot on image recognition, speech recognition, and natural language processing.

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