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Niels-Peter Rønmos edited this page Feb 9, 2018
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The purpuse off this project is to apply XBRL in AI and Machine learning, by usage of Python.
The project will be divided into 3 parts:
- Generic XBRL to AI.
- XBRL in Danish GAAP og Danish IFRS (with extension) to AI
- xbrl_ai_dk.py
- Sample of Machine Learning implementation based on this project
- test_xbrl_ai_dk.py
Working with machine learning basicly comes down to one thing: y = f(X), y is what we want to predict, X is the input and f is the machine learning model. Unfortunately X hardly ever fits into to f. If we want to fit e.g. an XBRL-instance into to f, we need to prepare the data. XBRL needs a good representation to fit into AI and Machine learning.
Creating a good and standardized representation of XBRL into AI and Machine learning are the main purpose of this project.