Targeted Learning: From Machine Learning to Inference
Por um escritor misterioso
Last updated 25 abril 2025

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

eIQ® Toolkit NXP Semiconductors

A comprehensive survey on machine learning for networking: evolution, applications and research opportunities, Journal of Internet Services and Applications

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

Keep Your Models Accurate Through Monitoring

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

AI-powered therapeutic target discovery: Trends in Pharmacological Sciences

Steve Blank Artificial Intelligence and Machine Learning– Explained

How to make causal inferences using texts
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)

Cross-validated Targeted Maximum Likelihood Estimation (CV-TMLE)

Get more out of your products with these machine-learning-powered tools

Edge-Based Machine Learning

Deploying Deep Neural Networks with NVIDIA TensorRT
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