We have all heard the phrase “correlation does not equal causation.” What, then, does equal causation? This course aims to answer that question and more!
Ofrecido Por
A Crash Course in Causality: Inferring Causal Effects from Observational Data
Universidad de PensilvaniaAcerca de este Curso
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Prueba Coursera para negociosHabilidades que obtendrás
- Instrumental Variable
- Propensity Score Matching
- Causal Inference
- Causality
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Welcome and Introduction to Causal Effects
Confounding and Directed Acyclic Graphs (DAGs)
Matching and Propensity Scores
Inverse Probability of Treatment Weighting (IPTW)
Reseñas
- 5 stars77,31 %
- 4 stars18,76 %
- 3 stars2,06 %
- 2 stars0,82 %
- 1 star1,03 %
Principales reseñas sobre A CRASH COURSE IN CAUSALITY: INFERRING CAUSAL EFFECTS FROM OBSERVATIONAL DATA
The material is great. Just wished the professor was more active in the discussion forum. Have not showed up in the forum for weeks. At least there should be a TA or something.
The course is very simply explained, definitely a great introduction to the subject. There are some missing links, but minor compared to overall usefulness of the course.
It will be better to give reviews of related applications in specific AI areas (e.g, computer vision, NLP, etc.) at the end of each of the sections of the lesson.
This course is really fantastic for all levels. Very thorough explanations and helpful illustrations. Many thanks for putting this together!
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