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“ML algorithms are often grouped into three main categories;

Supervised learning – algorithms which learn patterns and gain predictive ability by comparing their response to a set of inputs (also known as a ground truth).
Unsupervised learning – algorithms that discover the structure of without knowing a ground truth, and often their result is the creation of clusters that group data with similar properties together.
Reinforcement learning – algorithms that discover how to best respond to a set of inputs via an embedded reward-penalisation system.”

(43) Artificial Intelligence (AI) and Education – Deep Dive #1 | LinkedIn
https://www.linkedin.com/pulse/artificial-intelligence-ai-education-deep-dive-1-nick-burnett/
via Instapaper

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