Question to presenter and/or others regarding video
https://www.wolfram.com/wolfram-u/machine-learning-zero-to-AI-60-minutes/
Interesting in understanding how would you theoretically go about predicting the outcome of a rock, paper,scissors toss before it happens (v. just recognising the outcome as in the video example). I understand it is not a simple problem but would be very interesting to see how you would approach it using Wolfram and what built in tools would be helpful in the various components.
Thank you very much!
