New book explores machine learning's impact on inverse problems and data assimilation

A new book aims to showcase the impact of machine learning on inverse problems and data assimilation. It is primarily intended for researchers in these fields who are seeking a mathematical presentation of machine learning concepts relevant to their work. The book also provides a concise mathematical treatment of fundamental machine learning topics and related areas of computational mathematics. AI

IMPACT Provides a mathematical framework for applying machine learning to scientific modeling and data analysis.

RANK_REASON The item is an academic paper (book) submitted to arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• DagsHub
• Eviatar Bach
• Hugging Face
• Machine Learning for Inverse Problems and Data Assimilation

• paper
• other

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