机器学习在天文学中的作用

Pankhudi Saraswat, Divya Jain
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引用次数: 0

摘要

机器学习是当今发展最快的领域之一。它正在迅速获得关注,世界各地的人们都对它所能完成的任务感到敬畏。机器和深度学习是一个巨大的里程碑,同时也是朝着技术方向迈出的一大步,因为它们可以帮助我们实现高精度的结果。天文学就是这样一个领域,在人工智能和机器学习的帮助下,天文学正达到新的水平。通过本文,作者试图弥合这两个领域之间的差异,并试图展示各种机器学习算法如何在空间研究领域实现,并使工作变得更加容易和高效。本文还讨论了这两个领域是如何紧密相连的,它们如何完全改变未来的发明和空间信息。
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The Role of Machine Learning in Astronomy
Machine learning is one of the most immensely growing field these days. It is gaining attention quickly and has people all around the world in awe of the tasks it can achieve. Machine and deep learning are a huge milestone while also being a great step in direction of technology as they can help us in achieving results with high precision. Astronomy is one such field that is reaching new levels with help of AI and machine learning. Through this paper, authors try to bridge the difference between the two fields and try to show how various machine learning algorithms have been implemented in the field of space research and have made work much easier and efficient. This article also addresses how deeply connected these two fields are how they can completely change the future of inventions and space information.
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