LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes
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Episode Summary: This 86th episode of Learning Machines 101 discusses the problem of assigning probabilities to a possibly infinite set of outcomes in a space-time continuum which characterizes our physical world. Such a set is called an “environmental event”. The machine learning algorithm uses information about the frequency of environmental events to support learning. If we want to… Read More »
