Introduction to Algorithms for Data Mining and Machine Learning is popular PDF and ePub book, written by Xin-She Yang in 2019-06-17, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Introduction to Algorithms for Data Mining and Machine Learning can be Read Online from any device for your convenience.
Introduction to Algorithms for Data Mining and Machine Learning Book PDF 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
Detail Book of Introduction to Algorithms for Data Mining and Machine Learning PDF
- Author : Xin-She Yang
- Release : 17 June 2019
- Publisher : Academic Press
- ISBN : 9780128172179
- Genre : Mathematics
- Total Page : 188 pages
- Language : English
- PDF File Size : 20,6 Mb
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