The differences between Artificial Intelligence, Machine Learning, and Deep Learning

Calum McClelland makes a short introduction on Artificial Intelligence, Machine Learning, and Deep Learning. In the post from IoT for all, he explains the difference between these concepts and the impact for the IoT industry, industrial applications, and consumers.

About AI:

First coined in 1956 by John McCarthy, AI involves machines that can perform tasks that are characteristic of human intelligence. While this is rather general, it includes things like planning, understanding language, recognizing objects and sounds, learning, and problem solving.

About Machine Learning:

…machine learning is simply a way of achieving AI.
Arthur Samuel coined the phrase not too long after AI, in 1959, defining it as, “the ability to learn without being explicitly programmed.” You see, you can get AI without using machine learning, but this would require building millions of lines of codes with complex rules and decision-trees.

About Deep Learning:

Deep learning is one of many approaches to machine learning. Other approaches include decision tree learning, inductive logic programming, clustering, reinforcement learning, and Bayesian networks, among others.

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