Predictive technology can improve public policy — if we use it right.

An argument that it is time to re-think our approach to natural language understanding, since the ‘big data’ approach to NLU is implausible and flawed.. (more…)

AutoTiKV is a machine-learning-based tuning tool that helps decrease tuning costs and make life easier for DBAs. This post shows AutoTiKV's design, its machine learning model, and the automatic tuning workflow. (more…)

To predict the future, we look at the data we have about the past.

Late last year Amazon introduce a new EC2 image customized for Machine Learning (ML) workloads. To make things easier for data scientists and researchers, Amazon worked on including a selection of ML libraries into these images so they wouldn’t have to go... (more…)