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Tuesday, June 25 • 11:00 - 11:20
Bias and bugs: implementing recommendations

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After modeling and validating both with automatic and internal manual tests, we deploy a recommendation system. But did we randomize properly the testing groups? Adding a feature to one page, but not another, will already imply in selection bias. In this presentation we will quickly present a neural network based recommender, but focus on the issues faced when (a) defining our randomized trial test (b) selecting the test and control groups (c) coping with our inherent web based selection bias and (d) defining which statistical test to apply and (e) how to interpret its results.

avatar for Guilherme Silveira

Guilherme Silveira

Head of Education, Alura
Guilherme co-founded Caelum and Alura, the largest brazilian online training platform in data science, machine learning and software development.With over 15 years of experience in software development education he is responsible for innovation, content quality and training at Alura... Read More →

Tuesday June 25, 2019 11:00 - 11:20 GMT-03
Room 9 Av. Rebouças, 3970 - Pinheiros, São Paulo - SP, 05402-600, Brazil