Pol FerrandoinTowards Data ScienceIntroduction to BigQuery MLLearn how to create machine learning models, evaluate their predictive performance and make predictions directly in BigQuery.Jan 22, 20194Jan 22, 20194
Pol FerrandoinTowards Data ScienceUnderstanding how to explain predictions with “explanation vectors”This post explains how we can use gradient vectors to understand what features made any ML model give its prediction for a specific…Jan 10, 20191Jan 10, 20191
Pol FerrandoinTowards Data ScienceUnderstanding how IME (Shapley Values) explains predictionsIn this post I will focus on how IME uses the Shapley Value to produce explanations for individual predictions of any ML model.Jan 2, 20191Jan 2, 20191
Pol FerrandoinTowards Data ScienceUnderstanding how LIME explains predictionsIn this post I will focus on how LIME produces explanations for individual predictions of any machine learning model.Dec 28, 20184Dec 28, 20184
Pol FerrandoinBecoming Human: Artificial Intelligence MagazineInterpretable Machine Learning: An OverviewMany ML models remain black boxes, so there’s a need of methods able to explain their predictions. This is an overview of the current ones.Dec 26, 2018Dec 26, 2018