quantum AI programming - An Overview
quantum AI programming - An Overview
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QR Decomposition in Machine learning QR decomposition is really a way of expressing a matrix given that the item of two matrices: Q (an orthogonal matrix) and R (an upper triangular matrix).
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It is actually used to make a decision what action to take at t+1 determined by data nearly time t. This idea is Utilized in Artificial Intelligence applications for example walking. A well known example of reinforcement learning is a chess engine
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