A Mathematical Introduction to Data Science with Python
Author:   Yi Sun ,  Rod Adams
Publisher:   Springer Verlag, Singapore
ISBN:  

9789819536672


Pages:   399
Publication Date:   19 May 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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A Mathematical Introduction to Data Science with Python


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Author:   Yi Sun ,  Rod Adams
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
ISBN:  

9789819536672


ISBN 10:   9819536677
Pages:   399
Publication Date:   19 May 2026
Audience:   College/higher education ,  Postgraduate, Research & Scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Chapter 1 Introduction.- Chapter 2 Sets and Functions.- Chapter 3 Liner Algebra.- Chapter 4 Matrix Decomposition.- Chapter 5 Calculus.- Chapter 6 Advanced Calculus.- Chapter 7 Algorithms 1 – Principal Component Analysis.- Chapter 8 Algorithms 2 – Liner Regression.- Chapter 9 Algorithms 3 – Neural Networks.- Chapter 10 Probability.- Chapter 11 Further Probability.- Chapter 12 Elements of Statistics.- Chapter 13 Algorithms 4 – Maximum Likelihood Estimation and Its Application to Regression.- Chapter 14 Data Modelling in Practice.

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Author Information

Dr. Yi Sun: Reader in Data Science, in the Department of Computer Science, at the University of Hertfordshire. She has extensive teaching experience in machine learning and data science since 2006. Her research focuses on machine learning applications, with additional interests in image processing, natural language processing, and time series analysis. Prof. Rod Adams: Emeritus Professor, in the Department of Computer Science, at University of Hertfordshire. He has extensive experience in teaching both mathematics and computer science since the 1970s. His initial research was in mathematical logic and the maths behind compilers, especially for functional languages. Most of his research, however, has centred on neural modelling and machine learning in many application domains.

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