The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...
For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...
We all know that in the near future humanity will come to a crossroads. With 99% of the world’s population currently tasked with creating memes and/or dank memes, what will happen when computers get ...
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