Booktopia has been placed into Voluntary Administration. Orders have been temporarily suspended, whilst the process for the recapitalisation of Booktopia and/or sale of its business is completed, following which services may be re-established. All enquiries from creditors, including customers with outstanding gift cards and orders and placed prior to 3 July 2024, please visit https://www.mcgrathnicol.com/creditors/booktopia-group/
Add free shipping to your order with these great books
Advances in Machine Learning and Data Mining for Astronomy : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Michael J. Way

Advances in Machine Learning and Data Mining for Astronomy

By: Michael J. Way (Editor), Jeffrey D. Scargle (Editor), Kamal M. Ali (Editor), Ashok N. Srivastava (Editor)

Paperback | 16 November 2016

Sorry, we are not able to source the book you are looking for right now.

We did a search for other books with a similar title, however there were no matches. You can try selecting from a similar category, click on the author's name, or use the search box above to find your book.

Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science.

The book's introductory part provides context to issues in the astronomical sciences that are also important to health, social, and physical sciences, particularly probabilistic and statistical aspects of classification and cluster analysis. The next part describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. In the last part, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications.

With contributions from leading astronomers and computer scientists, this book is a practical guide to many of the most important developments in machine learning, data mining, and statistics. It explores how these advances can solve current and future problems in astronomy and looks at how they could lead to the creation of entirely new algorithms within the data mining community.

Industry Reviews

"The volume is a well-organised collection of articles presenting the importance of modern data mining and machine learning techniques in application to analysis of astronomical data. ... A major strength of the volume is its very impressive collection of real examples that can be both inspirational and educational. ... The book is particularly successful in showing how collaboration between computer scientists and statisticians on one side and astronomers on the other is needed to search for a scientific discovery in the abundance of data generated by instrumentation and simulations."
-Krzysztof Podgorski, International Statistical Review, 2014

More in Computer Science

Python for Finance : Mastering Data-Driven Finance - Yves J. Hilpisch

RRP $152.00

$67.35

56%
OFF
Python for Algorithmic Trading : From Idea to Cloud Deployment - Yves Hilpisch
Cooking for Geeks : Real Science, Great Cooks, and Good Food - Jeff Potter
Communication Patterns : A Guide for Developers and Architects - Jacqueline Read
Blockchain : Blueprint for a New Economy - Melanie Swan

RRP $66.50

$32.75

51%
OFF
Practical Vim : Edit Text at the Speed of Thought :  2nd Edition - Drew Neil
Mixing Secrets for the Small Studio : 2nd Edition - Mike Senior

RRP $92.99

$72.75

22%
OFF
Principles of Information Systems : 14th edition - George Reynolds

RRP $232.95

$183.75

21%
OFF