Momiao Xiong (USA University of Texas School of Public Health)

Artificial Intelligence and Causal Inference

• Broschiertes Buch

Produktbeschreibung

Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning, planning and imagination.

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Produktdetails

• Chapman & Hall/CRC Machine Learning & Pattern Recognition
• Verlag: Taylor & Francis Ltd
• Seitenzahl: 396
• Erscheinungstermin: 27. Mai 2024
• Englisch
• Abmessung: 280mm x 210mm x 21mm
• Gewicht: 942g
• ISBN-13: 9781032193281
• ISBN-10: 103219328X
• Artikelnr.: 70362363

Autorenporträt

Momiao Xiong, is a professor in the Department of Biostatistics and Data Science, University of Texas School of Public Health, and a regular member in the Genetics & Epigenetics (G&E) Graduate Program at The University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Science. His interests are artificial intelligence, causal inference, bioinformatics and genomics.

Inhaltsangabe

1. Deep Neural Networks. 2. Deep Wide Neural Networks. 3. Dynamics of
Output of Neural Networks. 4. Deep Generative Models. 5. Representation
Learning. 5. Graph Representation Learning. 6. Deep Learning for Causal
Inference. 7. Deep Learning for Counterfactual Inference and Treatment
Estimation. 8. Reinforcement Learning, Meta-Learning for Causal Inference
and Quantum Causal Analysis.