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Reinforcement learning is a type of machine learning where an agent learns by interacting with its environment and receiving feedback in the form of rewards or penalties.
The algorithm, known as Higashi, is based on hypergraph representation learning — the form of machine learning that can recommend music in an app and perform 3D object recognition.
What semi-supervised machine learning can do In practical terms, semi-supervised learning is valuable where you have a lot of data but not all of it is organized or labeled.
What does machine learning epoch actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.
Reinforcement learning is a type of machine learning that assigns positive or negative values to certain outcomes.
Unless the crisis is dealt with, machine learning’s reputation could take a hit, he says. “I’m somewhat surprised that there hasn’t been a crash in the legitimacy of machine learning already.
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