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Advances in Machine Learning and Data Mining for Astronomy

Advances in Machine Learning and Data Mining for Astronomy

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"Advances in Machine Learning and Data Mining for Astronomy" by Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, Ashok N. Srivastava is a astronomy book and space science reference focused on Equipment & Methods. Best for students, researchers, and serious astronomy enthusiasts.

This practical guide illustrates the use of state-of-the-art machine learning and data mining techniques in astronomy. The book presents issues in the astronomical sciences that are also important to health, social, and physical sciences. It describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. In addition, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications.

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Best For: Researchers and practitioners interested in applying machine learning and data mining techniques to astronomical data analysis.
Focus: The application of advanced machine learning and data mining methods to solve problems in astronomy, supported by astrophysics case studies.
Covers: Issues in astronomical sciences relevant to other scientific fields, practical use of various machine learning and data mining technologies, and algorithm development for astronomy.
Why It Matters: It demonstrates how computational techniques can enhance understanding and analysis in astronomy, bridging methods across multiple scientific disciplines.

"Advances in Machine Learning and Data Mining for Astronomy" by Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, Ashok N. Srivastava is a astronomy book and space science reference focused on Equipment & Methods. Best for students, researchers, and serious astronomy enthusiasts.

Topic: Equipment & Methods

Author: Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, Ashok N. Srivastava

Who this is for:

  • Astronomy students
  • Researchers and advanced hobbyists
  • Readers exploring space science topics

Why this book matters: It matters because it helps readers build a stronger understanding of astronomy concepts, observations, and scientific ideas related to space.

This practical guide illustrates the use of state-of-the-art machine learning and data mining techniques in astronomy. The book presents issues in the astronomical sciences that are also important to health, social, and physical sciences. It describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. In addition, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications.

AuthorMichael J. Way, Jeffrey D. Scargle, Kamal M. Ali, Ashok N. Srivastava
PublisherChapman & Hall/CRC
Published2016-11-16
ISBN-139781138199309
BindingPaperback
LanguageEnglish
SubjectsComputers
TopicEquipment & Methods
SeriesChapman & Hall/CRC Data Mining and Knowledge Discovery

Format: Paperback

Language: English

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