- Can a human beat a chess engine? (Yes | No)
- Humans can estimate decisions better than machines with intuition when it comes to large volumes of data. (Yes | No)
- Building a reinforcement learning program with a Q function is a feat in itself. Using the results afterward is useless. (Yes | No)
- Supervised learning decision tree functions can be used to verify that the result of the unsupervised learning process will produce reliable, predictable results. (Yes | No)
- The results of a reinforcement learning program can be used as input to a scheduling system by providing priorities. (Yes | No)
- Can artificial Intelligence software think like humans? (Yes | No)
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