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

Center for Targeted Machine Learning and Causal Inference (CTML) - Director of Finance And Administration - University of California, Berkeley

AI Inference Engine concept. Deep Learning based inference engine

How to make causal inferences using texts

Deploying Machine Learning Applications

AI and Machine Learning

Causal inference (Part 2 of 3): Selecting algorithms, by Jane Huang, Data Science at Microsoft

Real-time machine learning architecture on Azure - Azure Architecture Center

Targeted Learning Software (@tlverse) / X

Deep Learning Training vs. Inference: What's the Difference?

Training Materials Center for Targeted Machine Learning and Causal Inference

Research Center for Targeted Machine Learning and Causal Inference

1. Targeted Machine Learning for Causal Inference based on Real World Data

Cntr for Targeted Machine Learning & Causal Infer. (@BerkeleyCTML) / X

The Why and the How of Deep Metric Learning., by Aakash Agrawal