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. In this book, I aim at presenting new statistical methods, including computationally intensive techniques that have emerged alongside advances in computing power, as well as Machine Learning (ML) approaches for the era of big data science, using the research themes I have led as examples.

Applications of Big Data and ML in Galaxy PDF

The list of books you might like