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Artificial Intelligence - Interview Questions
What is the difference between Artificial Intelligence, Machine Learning, and Deep Learning?
Artificial intelligence is the all-encompassing branch of computer science to build machines that are capable like humans.  Example: Robotics
 
Machine learning is the subset of AI. It is the practice of getting machines to make decisions without being programmed. It aims to build machines learning through data so that they can solve problems. Example: churn prediction, detection of disease, text classification.
 
Deep Learning is the subset of Machine Learning. It has neural networks that can perform unsupervised learning from unstructured data. They learn through representation learning, and it could be unsupervised, supervised, or semi-supervised. Deep learning aims to build neural networks that automatically discover patterns for feature detection. Example: uncrewed cars and how they can recognize stop signs on the road.
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