Description

Book Synopsis

This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of data science. It covers essential parts of data organization, descriptive and inferential statistics, probability theory, and machine learning. These topics are presented in a clear and mathematical sound way to help readers gain a deep and fundamental understanding. Numerous application examples based on real data are included. The book is well-suited for lecturers and students at technical universities, and offers a good introduction and overview for people who are new to the subject. Basic mathematical knowledge of calculus and linear algebra is required.



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Data Science: An Introduction to Statistics and

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Order before 4pm today for delivery by Fri 16 Jan 2026.

A Paperback / softback by Matthias Plaue

15 in stock


    View other formats and editions of Data Science: An Introduction to Statistics and by Matthias Plaue

    Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
    Publication Date: 01/09/2023
    ISBN13: 9783662678817, 978-3662678817
    ISBN10: 3662678810
    Also in:
    Databases / Data management Probability and statistics

    Description

    Book Synopsis

    This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of data science. It covers essential parts of data organization, descriptive and inferential statistics, probability theory, and machine learning. These topics are presented in a clear and mathematical sound way to help readers gain a deep and fundamental understanding. Numerous application examples based on real data are included. The book is well-suited for lecturers and students at technical universities, and offers a good introduction and overview for people who are new to the subject. Basic mathematical knowledge of calculus and linear algebra is required.



    Table of Contents

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