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The Data Science Doctor explains how to use the reinforcement learning branch of machine learning with the Q-learning approach, providing code on how to solve a maze problem for an easy-to-understand ...
Q: What technologies underlie Uber’s machine learning? Lange: We offer about 10 different algorithms, including boosted trees, linear learners and neural networks.
A special category of algorithms, machine learning algorithms, try to “learn” based on a set of past decision-making examples.
The implications of this are wide and varied, and data scientists are coming up with new use cases for machine learning every day, but these are some of the top, most interesting use cases ...
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