Four short links: 13 November 2019
Predicting Smells, Diversified Sampling, Card Games, and Universal SQL Interface
- Learning to Smell: Using Deep Learning to Predict the Olfactory Properties of Molecules (Google) — a readable walk through of how they model and make sense of smells.
- Diversified Sampling: Mining Large Datasets for Special Cases — TL;DR: the objective is to build a small sample of the data in which special cases are likely to be represented. The strategy is to have each data item emit a list of “features,” and to boost the probability of selecting rare features. A shallow understanding of the data is often enough to design an effective features extraction.
- RLCard — open source reinforcement learning toolkit for card games. Paper. (via SyncedReview)
- usql — Universal command-line interface for SQL databases.
