Applications of Big Data and Machine Learning in Galaxy Formation and Evolution (Series in Astronomy and Astrophysics) - Tapa blanda
Sinopsis
As investigations into our Universe become more complex, in-depth, and widespread, galaxy surveys are requiring state-of-the-art data scientific methods to analyze them. This book provides a practical introduction to big data in galaxy formation and evolution, introducing the astrophysical basics, before delving into the latest techniques being introduced to astronomy and astrophysics from data science. This book helps translate the cutting-edge methods into accessible guidance for those without a formal background in computer science. It is an ideal manual for astronomers and astrophysicists, in addition to graduate students and postgraduate students in science and engineering looking to learn how to apply data-science to their research.
Key Features:
- Introduces applications of data-science methods to the exciting subject of galaxy formation and evolution
- Provides a practical guide to understanding cutting-edge data-scientific methods, as well as classical astrostatistical methods
- Summarises a vast range of statistical and informatics methods in one volume, with concrete applications to astrophysics
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Acerca del autor
Tsutomu T. Takeuchi is Associate Professor, Division of Particle and Astrophysical Science, Nagoya University, Japan.
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Applications of Big Data and Machine Learning in Galaxy Formation and Evolution (Paperback)
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Taylor & Francis Ltd, London, 2026
ISBN 10: 0367608235
ISBN 13: 9780367608231
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Paperback. Condición: new. Paperback. As investigations into our Universe become more complex, in-depth, and widespread, galaxy surveys are requiring state-of-the-art data scientific methods to analyze them. This book provides a practical introduction to big data in galaxy formation and evolution, introducing the astrophysical basics, before delving into the latest techniques being introduced to astronomy and astrophysics from data science. This book helps translate the cutting-edge methods into accessible guidance for those without a formal background in computer science. It is an ideal manual for astronomers and astrophysicists, in addition to graduate students and postgraduate students in science and engineering looking to learn how to apply data-science to their research.Key Features:Introduces applications of data-science methods to the exciting subject of galaxy formation and evolutionProvides a practical guide to understanding cutting-edge data-scientific methods, as well as classical astrostatistical methodsSummarises a vast range of statistical and informatics methods in one volume, with concrete applications to astrophysics This book provides a practical introduction to big data in galaxy formation and evolution, introducing the astrophysical basics, before delving into the latest techniques being introduced to astronomy and astrophysics from data science. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780367608231
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Applications of Big Data and Machine Learning in Galaxy Formation and Evolution
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Applications of Big Data and Machine Learning in Galaxy Formation and Evolution (Series in Astronomy and Astrophysics)
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Applications of Big Data and Machine Learning in Galaxy Formation and Evolution (Series in Astronomy and Astrophysics)
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Applications Of Big Data And Machine Learning In Galaxy Formation And Evolution
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Applications of Big Data and Machine Learning in Galaxy Formation and Evolution
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Condición: New. Tsutomu T. Takeuchi is Associate Professor, Division of Particle and Astrophysical Science, Nagoya University, Japan.As investigations into our Universe become more complex, in-depth, and widespread, galaxy surveys are requiring state-o. Nº de ref. del artículo: 3381469856
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Applications of Big Data and Machine Learning in Galaxy Formation and Evolution (Paperback)
Publicado por
Taylor & Francis Ltd, London, 2026
ISBN 10: 0367608235
ISBN 13: 9780367608231
Nuevo
Paperback
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. As investigations into our Universe become more complex, in-depth, and widespread, galaxy surveys are requiring state-of-the-art data scientific methods to analyze them. This book provides a practical introduction to big data in galaxy formation and evolution, introducing the astrophysical basics, before delving into the latest techniques being introduced to astronomy and astrophysics from data science. This book helps translate the cutting-edge methods into accessible guidance for those without a formal background in computer science. It is an ideal manual for astronomers and astrophysicists, in addition to graduate students and postgraduate students in science and engineering looking to learn how to apply data-science to their research.Key Features:Introduces applications of data-science methods to the exciting subject of galaxy formation and evolutionProvides a practical guide to understanding cutting-edge data-scientific methods, as well as classical astrostatistical methodsSummarises a vast range of statistical and informatics methods in one volume, with concrete applications to astrophysics This book provides a practical introduction to big data in galaxy formation and evolution, introducing the astrophysical basics, before delving into the latest techniques being introduced to astronomy and astrophysics from data science. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9780367608231
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Applications of Big Data and Machine Learning in Galaxy Formation and Evolution
Publicado por
Taylor & Francis Ltd Jul 2026, 2026
ISBN 10: 0367608235
ISBN 13: 9780367608231
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Taschenbuch. Condición: Neu. Neuware - As investigations into our Universe become more complex, in-depth, and widespread, galaxy surveys are requiring state-of-the-art data scientific methods to analyze them. This book provides a practical introduction to big data in galaxy formation and evolution, introducing the astrophysical basics, before delving into the latest techniques being introduced to astronomy and astrophysics from data science. This book helps translate the cutting-edge methods into accessible guidance for those without a formal background in computer science. It is an ideal manual for astronomers and astrophysicists, in addition to graduate students and postgraduate students in science and engineering looking to learn how to apply data-science to their research.Key Features: - Introduces applications of data-science methods to the exciting subject of galaxy formation and evolution - Provides a practical guide to understanding cutting-edge data-scientific methods, as well as classical astrostatistical methods - Summarises a vast range of statistical and informatics methods in one volume, with concrete applications to astrophysics. Nº de ref. del artículo: 9780367608231
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