Machine Learning for Physics and Astronomy
An accessible guide introducing machine learning methods and their use in physics and astronomy research and data analysis.
About This Book
This book introduces machine learning concepts relevant to physics and astronomy.
It covers fundamental techniques and their applications in scientific research.
Readers will explore data-driven methods used in modern physical sciences.
The content is designed to bridge computational tools and domain-specific knowledge.
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