  We explore the possibility of using machine learning to identify interesting
mathematical structures by using certain quantities that serve as fingerprints.
In particular, we extract features from integer sequences using two empirical
laws: Benford's law and Taylor's law and experiment with various classifiers to
identify whether a sequence is, for example, nice, important, multiplicative,
easy to compute or related to primes or palindromes.
