"By incorporating existing physical principles into machine learning we are able to create more powerful models that learn from data and build upon our existing scientific knowledge."
Read it!Cool explanation of computational aspects of recommendations avoiding to "get lost in the weeds of linear algebra".
Read it!A compilation of several examples that illustrate the motivation behind open sourcing a machine learning model.
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