Announcing Diogenes: all the Machine Learning code you’ll never have to write

At the Center for Data Science and Public Policy, we work on problems across different policy areas and develop machine learning (ML) solutions that span all these area , from education to public health to government transparency to public safety data. Building machine learning/data science systems often involves coming up with a software workflow and writing variations on [...]

The Greatest Technical Challenge of Our Day… Reading CSVs

Many data science projects follow the following workflow Define problem Get data Analyze the data (that may include building predictive models) Report the results of the analysis. Implement results into an operational system The move from step 1 to step 2 is often not trivial. First, the project partner needs to extract data from their systems and [...]