Matthias Plaue: Data Science | Taschenbuch

Cover: 9783662678817 | Data Science | An Introduction to Statistics and Machine Learning

Rückseite: 9783662678817 | Data Science | An Introduction to Statistics and Machine Learning

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Sprache: Englisch

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Beschreibung

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.

Über den Autor

Matthias Plaue is a versatile researcher with a background in mathematical physics. He has explored diverse domains, spanning from relativity theory to pedestrian dynamics. As a data scientist, he develops algorithms for data analysis and artificial intelligence, tailored to support strategic decision-making. In addition to his professional pursuits, he has devoted considerable time to mentoring students, imparting a deep understanding of mathematics and its practical application in tackling complex problems across the fields of science, technology, and engineering.

Zusammenfassung

Offers a gentle introduction into data science

Contains numerous examples and applications

Provides an overview of basic mathematical concepts and algorithms of data science

Inhaltsverzeichnis

Preface.- Part I Basics.- ¿1 Elements of data organization.- 2 Descriptive statistics.- Part II Stochastics.- 3 Probability theory.- 4 Inferential statistics.- 5 Multivariate statistics.- Part III Machine learning.- 6 Supervised machine learning.- 7 Unsupervised machine learning.- 8 Applications of machine learning.- Appendix.- A Exercises with answers.- B Mathematical preliminaries.- Supplementary literature.- Index.

Erscheinungsjahr:	2023
Genre:	Informatik , Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xxiv 361 S.
ISBN-13:	9783662678817
ISBN-10:	3662678810
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Plaue, Matthias
Auflage:	1st edition 2023
Hersteller:	Springer-Verlag GmbH Springer Berlin Heidelberg
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	235 x 155 x 21 mm
Von/Mit:	Matthias Plaue
Erscheinungsdatum:	01.09.2023
Gewicht:	0,587 kg