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A major focus of machine learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on data; the difficulty lies in the fact that the set of all possible behaviors given all possible inputs is too complex to describe generally in programming languages, so that in effect programs must automatically describe programs.
Python is great for brainstorming and trying out new ideas. I will give an overview of the tools that are available to date that can assist in rapid prototyping and design of machine learning programs in Python.
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