'Interpretability' diaporamas de présentation

CS282BR: Topics in Machine Learning Interpretability and Explainability

CS282BR: Topics in Machine Learning Interpretability and Explainability. Hima Lakkaraju Assistant Professor (Starting Jan 2020) Harvard Business School + Harvard SEAS. Agenda. Course Overview My Research Interpretability: Real-world scenarios

1.12k views • 84 slides

Psychology 202b Advanced Psychological Statistics, II

Psychology 202b Advanced Psychological Statistics, II. April 7, 2011. The Plan for Today. Introduce exploratory factor analysis. Historical applications in psychology. Basic concepts, extraction, rotation. Determining number of factors. EFA in SAS. EFA in M plus. Introduction.

249 views • 15 slides

New Perspectives on the Quality of Administrative Data

254 views • 14 slides