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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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    £49.99

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    Order before 4pm tomorrow for delivery by Tue 30 Jun 2026.

    A Paperback / softback by Matthias Plaue

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      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:
      Computing Databases / Data management Mathematics 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.



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