You Have The Data, Now What – Chris Lynch ODSC Boston 2015

Optimizing hyperparameters for machine learning models is a key step in making accurate predictions. Hyperparameters define characteristics of the...

Skewed data is common in data science; skew is the degree of distortion from a normal distribution. For example,...

The most frequent question I get about AI from colleagues, product managers, and others, is, “What do I need...