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Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation at Twitter
Traditionally, heuristic methods are used to generate candidates for large scale recommender systems.
Fighting Redundancy and Model Decay with Embeddings
Every day, hundreds of millions of new Tweets containing over 40 languages of ever-shifting vernacular flow through Twitter.
BayesDB: A probabilistic programming system for querying the probable implications of data
Is it possible to make statistical inference broadly accessible to non-statisticians without sacrificing mathematical rigor or inference quality?
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