Applications of Big Data and Machine Learning in Galaxy Formation and Evolution (Series in Astronomy and Astrophysics)

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