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
Artificial intelligence-based computational framework for drug-target prioritization and inference of novel repositionable drugs for Alzheimer's disease, Alzheimer's Research & Therapy
Targeted learning: The bridge from machine learning to statistical and causal inference
News · The Research Group of Mark van der Laan
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)
The E-Dimension: Why Machine Learning Doesn't Work Well for Some Problems?
Machine Learning Glossary
Causal inference and counterfactual prediction in machine learning for actionable healthcare
7 – Causal Inference – Machine Learning Blog, ML@CMU
Deep Learning Training vs. Inference: What's the Difference?
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