Introduction to Algorithms for Data Mining and Machine Learning
  • Author : Xin-She Yang
  • Release Date : 17 June 2019
  • Publisher : Academic Press
  • Genre : Mathematics
  • Pages : 188
  • ISBN 13 : 9780128172179

Introduction to Algorithms for Data Mining and Machine Learning Book Summary

Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data. Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages

Introduction to Algorithms for Data Mining and Machine Learning

Introduction to Algorithms for Data Mining and Machine Learning

Author : Xin-She Yang
Publisher : Academic Press
Genre : Mathematics
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File Size : 43,8 Mb
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Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills ...

Machine Learning and Data Mining

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Publisher : Horwood Publishing
Genre : Computers
Total View : 4231 Views
File Size : 52,5 Mb
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Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. Written as an introduction to the main issues associated with the basics of ...

Introduction to Algorithms for Data Mining and Machine Learning

Introduction to Algorithms for Data Mining and Machine Learning

Author : Xin-She Yang
Publisher : Academic Press
Genre : Mathematics
Total View : 6962 Views
File Size : 41,9 Mb
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Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills ...

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Publisher : Cambridge University Press
Genre : Business & Economics
Total View : 4483 Views
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New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning....

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Author : Rohit Raja,Kapil Kumar Nagwanshi,Sandeep Kumar,K. Ramya Laxmi
Publisher : John Wiley & Sons
Genre : Computers
Total View : 9743 Views
File Size : 47,8 Mb
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DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this ...

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A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics....

Introduction To Algorithms

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Author : Thomas H Cormen,Charles E Leiserson,Ronald L Rivest,Clifford Stein
Publisher : MIT Press
Genre : Computers
Total View : 5587 Views
File Size : 42,8 Mb
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The first edition won the award for Best 1990 Professional and Scholarly Book in Computer Science and Data Processing by the Association of American Publishers. There are books on algorithms that are rigorous but incomplete and others that cover masses of material but lack rigor. Introduction to Algorithms combines rigor and ...

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Author : Albert Bifet,Ricard Gavalda,Geoff Holmes,Bernhard Pfahringer
Publisher : MIT Press
Genre : Computers
Total View : 3348 Views
File Size : 45,9 Mb
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A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis ...