Modeling, Machine Learning and Astronomy

Discover the cutting-edge intersection of technology and astronomy in Modeling, Machine Learning and Astronomy by Snehanshu Saha. This insightful book compiles the proceedings from the First International Conference on Modeling, Machine Learning and Astronomy (MMLA 2019), held in Bangalore, India, in November 2019. With 185 pages of meticulously reviewed content, it features 11 full papers and 3 short papers, selected from an impressive 63 submissions. Dive into the innovative applications of machine learning within the field of astronomy and explore how these advancements are shaping our understanding of the universe. Published by Springer Verlag in 2021, this first edition is a must-have for researchers, students, and enthusiasts looking to expand their knowledge in this rapidly evolving domain. Don't miss the opportunity to enhance your expertise with this essential resource!