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
The Essential Guide to Quality Training Data for Machine Learning
An Overview of Targeted Learning
Sensors, Free Full-Text
Machine learning: What are membership inference attacks? - TechTalks
AI and Machine Learning
Membership Inference Attacks against Machine Learning Models – arXiv Vanity
What is inference in machine learning? - Quora
Deep Learning Training vs. Inference: What's the Difference?
Integrating Machine Learning with Human Knowledge - ScienceDirect
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)
Frontiers Intelligent Health Care: Applications of Deep Learning in Computational Medicine
DeepSpeed: Accelerating large-scale model inference and training via system optimizations and compression - Microsoft Research
Center for Targeted Machine Learning and Causal Inference (CTML) - Director of Finance And Administration - University of California, Berkeley
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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por adulto (o preço varia de acordo com o tamanho do grupo)
