What is AI (Artificial Intelligence), ML (Machine Learning) and Deep Learning? #AI #ML

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Guide : What is AI (Artificial Intelligence), ML (Machine Learning) and Deep Learning?

1.
Some people use Artificial Intelligence and Machine Learning interchangeably. In this guide, we’ll treat Artificial Intelligence as the broadest term which includes all Machine Learning techniques, and we’ll treat Deep Learning as subset of Machine Learning techniques.

2.
Machine Learning refers to a broad set of computer science techniques that let us give computers, as Arthur Samuel put it in 1959, “the ability to learn without being explicitly programmed.” There are many different types of machine learning algorithms, including reinforcement learning, genetic algorithms, rule-based machine learning, learning classifier systems, and decision trees. 

3.
Artificial Intelligence comprises all ML techniques, but it also includes other techniques such as search, symbolic reasoning, logical reasoning, statistical techniques that aren’t deep learning based, and behavior-based approaches.

4.
While deep learning is deservedly enjoying its moment in the sun, we’re particularly excited about ensemble techniques that use a wide variety of machine learning and non-machine learning based approaches to solve problems. Google’s AlphaGo program, for instance, uses Monte Carlo tree search in addition to convolutional neural networks (a special type of neural network) to guide the search process. We expect most autonomous driving systems to use traditional search techniques for route planning and deep learning for “safe path detection”.

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