I have a set of series of numbers. The set bears some common property about the
series. For example, in one case, Series 1 can be the set of random number of
odd numbers starting from 1 and Series N can be the set of random number of odd
numbers starting from N. In another case, Series 1 can be the set of random
number of odd numbers starting from 1, Series N can be the set of random number
of (odd number)^N starting from 5 (arbitrary number), and so on. Each series
can be of arbitrary length.
Even though the set members are 'similar' in properties, the exact relationship
is not known.
I want to generate one additional member of the set that is 'similar' in
properties with the existing one.
Questions:
1. Will Machine Learning be useful for this? If so, which specific term I
should do a search on. Sorry for the lack of knowledge here.
2. I want to minimize the amount of coding, with preference for 0 coding.
Which off-the-shelf tool (preference: open source and free) will be useful for
this? If programming is needed, I would like to use Python and associated
libraries.
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