Tag / data-organization
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Notes about “Structuring Machine Learning Projects” by Andrew Ng (Part I)
Are you interested in understand how to diagnose errors in a machine learning system, and
be able to prioritize the most promising directions for reducing error?
Do you want to understand complex ML settings and comparing to and/or surpassing human-level performance? -
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Best practices organizing data science projects
Managing the organization of a data project means evaluate what are the objetives of your organization system, how do you want to structure your data, the way that you want to have a backup system and a version control and finally how to document all your processes.
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