Different kinds of data has already been analysed by data scientists, but not speculative fiction. Here I try to fill this gap.
After the library creation you usually want to upload it to central repositories; in case of gradle, it can be non-trivial, so I’ve prepared a brief how-to.
There are many guides to choosing a software license, but they are too philosophic; here I try to formulate clear criteria for pragmatic choice.
PU learning relates to semi-supervised learning, outlier detection, ordinary supervised learning, but has its own specifics, which I try to describe here.
How to choose word2vec library for JVM language if you don’t want to learn new models, but need to read already learned vectors and compute similarity.