Mathematical Introduction to Data Science

Häftad, Engelska, 2025

588 kr

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Beskrivning

This textbook provides a comprehensive foundation in the mathematics needed for data science for students and self-learners with a basic mathematical background who are interested in the principles behind computational algorithms in data science.

Produktinformation

Utgivningsdatum:2025-07-10
Mått:155 x 235 x 31 mm
Vikt:760 g
Format:Häftad
Språk:Engelska
Antal sidor:476
Förlag:Springer Nature Switzerland AG
ISBN:9789819656387

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik
Databaser inom Data och IT
Systemvetenskap och AI inom Data och IT

Mer om författaren

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.

Innehållsförteckning

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.