Speculative fiction mining
Different kinds of data has already been analysed by data scientists, but not speculative fiction. Here I try to fill this gap.
Different kinds of data has already been analysed by data scientists, but not speculative fiction. Here I try to fill this gap.
PU learning relates to semi-supervised learning, outlier detection, ordinary supervised learning, but has its own specifics, which I try to describe here.
Different kinds of data has already been analysed by data scientists, but not speculative fiction. Here I try to fill this gap.
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.
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.
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.