Introduction to Algorithms for Data Mining and Machine Learning - Softcover

Yang, Xin-She

Softcover

ISBN 10: 0128172169 ISBN 13: 9780128172162

Publisher: Academic Press, 2019

Synopsis

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.

About this title

Review

Engineered for introductory courses on data mining, machine learning and optimization

About the Author

Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader at Middlesex University London, Adjunct Professor at Reykjavik University (Iceland) and Guest Professor at Xi’an Polytechnic University (China). He is an elected Bye-Fellow at Downing College, Cambridge University. He is also the IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management, and the Editor-in-Chief of International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO).

Edition details

• Publisher: Academic Press
• Publication date: 2019
• ISBN 10: 0128172169
• ISBN 13: 9780128172162
• Binding: Paperback
• Language: English
• Number of pages: 188