Synopsis
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
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Tsutomu T. Takeuchi is Associate Professor, Division of Particle and Astrophysical Science, Nagoya University, Japan.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Applications of Big Data and Machine Learning in Galaxy Formation and Evolution (Paperback)
Edité par
Taylor & Francis Ltd, London, 2026
ISBN 10 : 0367608235
ISBN 13 : 9780367608231
Neuf
Paperback
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : 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. N° de réf. du vendeur 9780367608231
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EUR 83,17
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Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Applications of Big Data and Machine Learning in Galaxy Formation and Evolution (Paperback)
Edité par
Taylor & Francis Ltd, London, 2026
ISBN 10 : 0367608235
ISBN 13 : 9780367608231
Neuf
Paperback
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : 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. N° de réf. du vendeur 9780367608231
Acheter neuf
EUR 85,29
Expédition à EUR 42,86
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
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