You Want the Truth – Adapt Training Domain to Improve Q&A on Technical Text

Uplift Modeling: Making Predictive Models Actionable

The Generalization Paradox of Ensembles

Netflix, Dark Knowledge, and Why Simpler Can Be Better

It is a Mistake to Answer Every Inquiry

Charlie Batch and the Cost of Obfuscation

Be a Data Detective

Haystacks and Needles Anomaly Detection

It is a Mistake to Listen Only to the Data

It Is a Mistake to Extrapolate

It is a Mistake to Discount Pesky Cases

It is a Mistake to Accept Leaks from the Future

Evaluate the Validity of Your Discovery with Target Shuffling

In this paper John Elder describes the power of Target Shuffling to evaluate the validity of your discovery. It’s particularly useful for identifying false positives.

The Ten Most Common Data Science Business Mistakes

It is a Mistake to Rely on One Technique

It is a Mistake to Lack Relevant Data

It is a Mistake to Focus on Training Results

It is a Mistake to Ask the Wrong Questions

Are Orange Cars Really not Lemons