I couldn't rely on existing databases for my machine learning project. I need a highly plastic database, so I decided to implement mine.
Using json and python files I can modify the structures of the tables without having to worry about modifying existing queries, they adapt to changes automatically.
The idea is that, when the machine does not find the data in its databases, it searches for them with the means at its disposal, automatically evaluating which is the best way to search for a given data.
The decision tree will automatically expand with the accumulated experience.
It is not impossible, but it will be long.
For now I start building my database.
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