Kalembe has a machine learning problem that has real-valued attributes in a 100-dimensional space. He estimates that only 10 attributes are relevant for this very large dataset. Which machine learning algorithm would you advice Kalembe to use given a choice of decision tree and k-nearest neighbour? Explain the choice and how he should approach this task?

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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.