Advances in Machine Learning and Data Mining for Astronomy Book [PDF] Download

Download the fantastic book titled Advances in Machine Learning and Data Mining for Astronomy written by Michael J. Way, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Advances in Machine Learning and Data Mining for Astronomy", which was released on 29 March 2012. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Advances in Machine Learning and Data Mining for Astronomy by Michael J. Way PDF

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.


Detail About Advances in Machine Learning and Data Mining for Astronomy PDF

  • Author : Michael J. Way
  • Publisher : CRC Press
  • Genre : Computers
  • Total Pages : 746 pages
  • ISBN : 143984173X
  • PDF File Size : 14,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Advances in Machine Learning and Data Mining for Astronomy

Advances in Machine Learning and Data Mining for Astronomy
  • Publisher : CRC Press
  • File Size : 27,7 Mb
  • Release Date : 29 March 2012
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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

Statistics, Data Mining, and Machine Learning in Astronomy

Statistics, Data Mining, and Machine Learning in Astronomy
  • Publisher : Princeton University Press
  • File Size : 24,5 Mb
  • Release Date : 12 January 2014
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As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions

Statistics, Data Mining, and Machine Learning in Astronomy

Statistics, Data Mining, and Machine Learning in Astronomy
  • Publisher : Princeton University Press
  • File Size : 23,8 Mb
  • Release Date : 03 December 2019
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Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey

Statistics, Data Mining, and Machine Learning in Astronomy

Statistics, Data Mining, and Machine Learning in Astronomy
  • Publisher : Unknown Publisher
  • File Size : 32,6 Mb
  • Release Date : 23 May 2024
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As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions

Advanced Data Mining Tools and Methods for Social Computing

Advanced Data Mining Tools and Methods for Social Computing
  • Publisher : Academic Press
  • File Size : 41,8 Mb
  • Release Date : 14 January 2022
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Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social

Large-Scale Machine Learning in the Earth Sciences

Large-Scale Machine Learning in the Earth Sciences
  • Publisher : CRC Press
  • File Size : 34,6 Mb
  • Release Date : 01 August 2017
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From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the

Technology and Innovation in Learning, Teaching and Education

Technology and Innovation in Learning, Teaching and Education
  • Publisher : Springer
  • File Size : 43,5 Mb
  • Release Date : 28 May 2019
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This book constitutes the thoroughly refereed post-conference proceedings of the First International Conference on Technology and Innovation in Learning, Teaching and Education, TECH-EDU 2018, held in Thessaloniki, Greece, on June 20-22, 2018.

Data Mining: Know It All

Data Mining: Know It All
  • Publisher : Morgan Kaufmann
  • File Size : 24,7 Mb
  • Release Date : 31 October 2008
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This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory

Support Vector Machines

Support Vector Machines
  • Publisher : CRC Press
  • File Size : 27,7 Mb
  • Release Date : 17 December 2012
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Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)-classification problems and regression problems. The book