In the previous posts in this series we dug into some data analysis on Magic the Gathering cards and tried to model the mana cost of cards in order to answer questions like "how much does 'flying' cost?".

We found a linear model that could explain the costs to some degree, however it struggled to get right the more complex cost structure around eg. 0-mana or many-colered cards. In this post we make an attempt at a neural network model of MTG mana costs in order to address these nonlinearities.

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