Product Description
Introduction to Algorithms for Data Mining and Machine Learning
Engineered for introductory courses on data mining, machine learning and optimization
Xin-She Yang (Author)
9780128172162
Paperback / softback, published 19 June 2019
188 pages
22.9 x 15.2 x 1.3 cm, 0.32 kg
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.
1. Introduction2.]
Introduction to Algorithms for Data Mining and Machine Learning Yang Paperback
Introduction to Algorithms for Data Mining and Machine Learning
Engineered for introductory courses on data mining, machine learning and optimization
Xin-She Yang (Author)
9780128172162
Paperback / softback, published 19 June 2019
188 pages
22.9 x 15.2 x 1.3 cm, 0.32 kg
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.
1. Introduction2.]
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