Targeted Learning: From Machine Learning to Inference
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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Causal inference (Part 2 of 3): Selecting algorithms, by Jane Huang, Data Science at Microsoft
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The role of machine learning in clinical research: transforming the future of evidence generation, Trials
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Research Center for Targeted Machine Learning and Causal Inference
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The Why and the How of Deep Metric Learning., by Aakash Agrawal
![Targeted Learning: From Machine Learning to Inference](https://i0.wp.com/bdtechtalks.com/wp-content/uploads/2021/04/training-examples-vs-new-examples.jpg?ssl=1)
Machine learning: What are membership inference attacks? - TechTalks
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Deep Learning Training vs. Inference: What's the Difference?
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Machine-Learning-Based Predictive Handover - Magister Solutions Ltd
GitHub - tlverse/enar2021-workshop: Workshop materials for Targeted Learning in the tlverse: Causal Inference Meets Machine Learning at the 2021 Spring Meeting of the Eastern North American Region (ENAR) of the International Biometric
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Universal adaptability: Target-independent inference that competes with propensity scoring
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Machine Learning – What Is It and Why Does It Matter?
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AI and Machine Learning on Databricks
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