> just a fluke in brain that gave her a prototype math co-processor.
Would a better word of choice be "predisposition to do arithmetic"? I've been wondering the same with artists in general (painters, musicians, etc.). Would a person without the predisposition be able to practice say Piano/Vocals for years together and reach a certain level of artistry? Any reference to academic studies on this would be appreciated.
This is interesting and could be a savior for Machine Learning(ML) engineering teams. In a typical ML workflow, there are three main entities to be managed:
1. Code
2. Data
3. Models
Systems like Data Version Control(DVC) [1], are useful for versioning 2 & 3. DVC improves on usability by residing inside the project's main git repo while maintaining versions of the data/models that reside on a remote. With Git partial clone, it seems like the gap could still be reduced between 1 & 2/3.
Would a better word of choice be "predisposition to do arithmetic"? I've been wondering the same with artists in general (painters, musicians, etc.). Would a person without the predisposition be able to practice say Piano/Vocals for years together and reach a certain level of artistry? Any reference to academic studies on this would be appreciated.
EDIT: Formatting