Causal inference
Practical AI
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Causal Inference in Data Science
This chapter delves into the importance and methods of causal inference in data science, contrasting experimental and observational methods along with their ethical implications. It highlights real-world applications, particularly in assessing vaccine effectiveness during the COVID pandemic, and advocates for collaboration among various stakeholders to enhance understanding. The discussion includes practical tools for causal analysis, resources for learning, and addresses fairness and bias in AI through specific case studies.
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