Artificial Intelligence and Causal Inference

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.

List of contents

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.

About the author

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.

Summary

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.

Product details

• Authors: Momiao Xiong, Momiao (University of Texas School of Publi Xiong, Xiong Momiao
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 27.05.2024
• EAN: 9781032193281
• ISBN: 978-1-0-3219328-1
• No. of pages: 368
• Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
• Subjects: Natural sciences, medicine, IT, technology > Biology > Ecology; Social sciences, law, business > Business > General, dictionaries; machine learning, MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / Econometrics, COMPUTERS / Machine Theory, Economic statistics, Probability & statistics, Mathematical theory of computation, Econometrics, Probability and statistics, COMPUTERS / Data Science / Machine Learning, Econometrics and economic statistics, Machine Learning;Artificial Intelligence;Python