Targeted Learning: From Machine Learning to Inference
Por um escritor misterioso
Descrição
Minimizing confounding is a key challenge to ensuring the fidelity of observational assessments of the real-world safety and effectiveness of medical product
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Universal adaptability: Target-independent inference that competes with propensity scoring
About the Book A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning., Book
Elements of Causal Inference - (Adaptive Computation and Machine Learning) by Jonas Peters & Dominik Janzing & Bernhard Scholkopf (Hardcover)
Targeted Learning in Data Science: by van der Laan, Mark J.
Training Materials Center for Targeted Machine Learning and Causal Inference
Integrating Machine Learning with Human Knowledge - ScienceDirect
Everything you need to know about Few-Shot Learning
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