Targeted Learning: From Machine Learning to Inference

Minimizing confounding is a key challenge to ensuring the fidelity of observational assessments of the real-world safety and effectiveness of medical product

Machine Learning and Statistical Inference

Researchers from Xi'an Jiaotong University apply machine learning to accelerate the discovery of new piezoelectric materials-School of Materials science and Engineering, Xi'an Jiaotong University

Deep Q-Learning An Introduction To Deep Reinforcement Learning

Welcome Targeted Learning in R

Harnessing deep learning for population genetic inference

How to make causal inferences using texts

What is Machine Learning Inference?

Deploying Deep Neural Networks with NVIDIA TensorRT

Steve Blank Artificial Intelligence and Machine Learning– Explained

Universal adaptability: Target-independent inference that competes with propensity scoring

Targeted Learning: From Machine Learning to Inference, Mark van der Laan, PhD

Targeted Learning in Data Science: by van der Laan, Mark J.

Model Inference in Machine Learning

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