Data Science

An Introduction to Statistics and Machine Learning

Häftad, Engelska, 2023

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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.

Produktinformation

Utgivningsdatum2023-09-01
Mått155 x 235 x 23 mm
Vikt582 g
FormatHäftad
SpråkEngelska
Antal sidor361
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783662678817
OriginaltitelData Science

Tillhör följande kategorier

Matematisk statistik inom Naturvetenskap och teknik
Databaser inom Data och it

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.

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.

“The book covers a wide range of topics, from basic statistical concepts to advanced machine learning algorithms. It is both deep and broad, making it a valuable resource for both beginners and experienced practitioners. Each concept is well explained and often accompanied by practical examples, which enhances understanding. The inclusion of real-world examples and applications of machine learning techniques is a major strength.” (Wael Badawy, Computing Reviews, March 1, 2024)