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Providing the big picture of ML concepts and how they relate to our API

There is no element in the documentation that provides a broad, encompassing and big picture of ML concepts and how our API provides them. Users at eNTERFACE17 suggested some useful artefacts for help with this, such as mind maps or infographics.

This should include terms such as "features", "feature vector", "model", "classifier", "instance", "example", "label", etc.

Recommendation: Provide a mind map embedded in a webpage of the RAPID-MIX API, which relate fundamental ML concepts to what our API offers to end users. There is a glossary of terms by Ron Kohavi (http://robotics.stanford.edu/~ronnyk/glossary.html) that could be mapped to this React MindMap component (https://github.com/learn-anything/react-mindmap). Checkout this example (https://learn-anything.xyz/machine-learning/machine-learning-libraries)