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Temporal difference learning
Temporal difference learning (TD learning) is a concept in machine learning that attributes to a class of model-free reinforcement learning methods. The technique predicts a reward or quantity depending on the future values of the value function.
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x1 3 2 -5 -7 Exercise x2 4 7 -2 -3 Y 1 1 -1 -1
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Transcribed Image Text:x1 3 2 -5 -7 Exercise x2 4 7 -2 -3 Y 1 1 -1 -1
SVM - From above data training, find the hyperplane equation Exercise - Assume you have x1 = 2, and x2=1, Determine the class of this new data.
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Transcribed Image Text:SVM - From above data training, find the hyperplane equation Exercise - Assume you have x1 = 2, and x2=1, Determine the class of this new data.
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