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Introduction to Algorithms for Data Mining and Machine Learning Xin-She Yang (School of Science and Technology, Middlesex University, UK)

Introduction to Algorithms for Data Mining and Machine Learning By Xin-She Yang (School of Science and Technology, Middlesex University, UK)

Introduction to Algorithms for Data Mining and Machine Learning by Xin-She Yang (School of Science and Technology, Middlesex University, UK)


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Introduction to Algorithms for Data Mining and Machine Learning Summary

Introduction to Algorithms for Data Mining and Machine Learning by Xin-She Yang (School of Science and Technology, Middlesex University, UK)

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 Xin-She Yang (School of Science and Technology, Middlesex University, UK)

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 in Modelling and Simulation at Middlesex University London, Fellow of the Institute of Mathematics and its Application (IMA) and a Book Series Co-Editor of the Springer Tracts in Nature-Inspired Computing. He has published more than 25 books and more than 400 peer-reviewed research publications with over 82000 citations, and he has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years (2016-2022).

Table of Contents

1. Introduction2. Mathematical Foundations3. Data Fitting and Method of Least Squares4. Logistic Regression and PCA5. Data Mining6. Artificial Neural Networks7. Support Vector Machine8. Deep Learning

Additional information

NLS9780128172162
9780128172162
0128172169
Introduction to Algorithms for Data Mining and Machine Learning by Xin-She Yang (School of Science and Technology, Middlesex University, UK)
New
Paperback
Elsevier Science Publishing Co Inc
2019-06-19
188
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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