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- 129pages
- 5 heures de lecture
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Focusing on machine learning algorithms, the book explores their applications within various physics domains, including particle, molecular, condensed matter physics, astrophysics, and cosmology. It presents complex concepts in accessible language, avoiding mathematical jargon, making it suitable for a wide audience interested in the intersection of technology and physics. The detailed examination highlights the relevance of machine learning in understanding fundamental physical theories and phenomena.
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AI for Physics, Volker Knecht
- Langue
- Année de publication
- 2022
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- Titre
- AI for Physics
- Langue
- Anglais
- Auteurs
- Volker Knecht
- Éditeur
- Taylor & Francis Ltd
- Publié
- 2022
- Format
- rigide
- Pages
- 129
- ISBN13
- 9781032156552
- Séries
- Évaluation
- 2 sur 5
- Description
- Focusing on machine learning algorithms, the book explores their applications within various physics domains, including particle, molecular, condensed matter physics, astrophysics, and cosmology. It presents complex concepts in accessible language, avoiding mathematical jargon, making it suitable for a wide audience interested in the intersection of technology and physics. The detailed examination highlights the relevance of machine learning in understanding fundamental physical theories and phenomena.