Modeling, Machine Learning and Astronomy: First International Conference, MMLA 2019, Bangalore, India, November 22–23, 2019, Revised Selected Papers

The proceedings from the First International Conference on Modeling, Machine Learning, and Astronomy reflect the vibrant intersection of advanced computational techniques and astronomical research. Held in Bangalore in November 2019, this gathering brought together experts and enthusiasts to explore innovative applications of machine learning within the field of astronomy.

Contributions from leading researchers detail various approaches to harnessing data-driven models to enhance astronomical observations and analysis. The discussions centered on optimizing algorithms for better data interpretation, as well as leveraging machine learning to address complex problems faced by astronomers today.

These selected papers highlight a range of topics, from predictive modeling of cosmic phenomena to practical implementations of artificial intelligence in observatory settings. This volume stands as a valuable resource for researchers, practitioners, and anyone interested in the future of astronomy intertwined with computational advancements.