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Book Synopsis

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.

A Mathematical Introduction to Data Science

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A Paperback by Yi Sun

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    View other formats and editions of A Mathematical Introduction to Data Science by Yi Sun

    Publisher: Springer
    Publication Date: 6/28/2025
    ISBN13: 9789819656387, 978-9819656387
    ISBN10: 9819656389

    Description

    Book Synopsis

    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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