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What is the difference between machine learning and deep learning?

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Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Machine learning can be categorised in the following three categories.

1. Supervised machine learning,

2. Unsupervised machine learning,

3. Reinforcement learning

 Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.

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AI stands for Artificial Intelligence. It is a technique which enables machines to mimic human behavior.

Machine Learning is a subset of AI which uses statistical methods to enable machines to improve with experiences.

Deep learning is a part of Machine learning, which makes the computation of multi-layer neural networks feasible. It takes advantage of neural networks to simulate human-like decision making.

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