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!
A Crash Course in Causality: Inferring Causal Effects from Observational DataUniversidade da Pensilvânia
Informações sobre o curso
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Universidade da Pensilvânia
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
- 5 stars76,85%
- 4 stars18,99%
- 3 stars2,18%
- 2 stars0,87%
- 1 star1,09%
Principais avaliações do A CRASH COURSE IN CAUSALITY: INFERRING CAUSAL EFFECTS FROM OBSERVATIONAL DATA
A consise course on causality; watched on 2x speed because the instructor speaks rather slowly; really bad formatting of quiz questions.
This course is really fantastic for all levels. Very thorough explanations and helpful illustrations. Many thanks for putting this together!
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.
I thought this was a good overview and I'm glad I took the course, but I would have preferred more hands on programming assignments.
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