Machine Learning in Astronomy (IAU S368)

Discover the groundbreaking insights in "Machine Learning in Astronomy (IAU S368)" by Jess McIver, published by Cambridge University Press in 2025. This essential hardback edition, spanning 200 pages, is designed for graduate students and professional astronomers eager to harness the power of machine learning to explore the vast potential of modern data-rich surveys and deep imaging techniques.

Inside, leading researchers at the forefront of the field share their best practices and innovative applications of machine learning that are not only relevant to astronomy but also applicable to various data-intensive disciplines. Whether you are looking to enhance your research or expand your knowledge, this book serves as a vital resource for anyone interested in the intersection of technology and astronomy.

Unlock new possibilities and deepen your understanding of data analysis in the cosmos with this invaluable guide.