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Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis (Undergraduate Topics in Computer Science) - Softcover
Inhaltsangabe
This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical principles.
Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Prof. Dr. Maurits Kaptein works on statistical methods for sequential experimentation. He has extensive experience in research and education in the fields of statistics, machine learning, and research methodology. Maurits works for the Jheronimus Academy of Data Science and for the University of Tilburg. His work has been published in influential journals such as Bayesian Analysis and the Journal of Interactive Marketing.
Prof. Dr. Edwin van den Heuvel works on statistical methods for analyzing cross-sectional and longitudinal data from experimental and observational studies in the domain of health and life sciences. He has been teaching many different topics on statistics to (PhD, master, and bachelor) students from different backgrounds (medicine, engineering, mathematics, etc.) He is full-time professor in statistics at Eindhoven University of Technology and has affiliations at other universities. He publishes mostly in peer-reviewed influential statistical, epidemiological, and medical journals.
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This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical principles. <p>Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.</p>
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Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis (Undergraduate Topics in Computer Science)
Verlag:
Springer (edition 1st ed. 2022), 2020
ISBN 10: 303010530X
ISBN 13: 9783030105303
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DATA STATISTICS
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Statistics for Data Scientists : An Introduction to Probability, Statistics, and Data Analysis
Verlag:
Springer International Publishing, 2020
ISBN 10: 303010530X
ISBN 13: 9783030105303
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book providesan undergraduate introduction to analysing data for data science, computer science, and quantitative social science students.It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a rigorous treatment of probability and statistical principles.Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuseson methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science. Artikel-Nr. 9783030105303
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Statistics for Data Scientists
ISBN 10: 303010530X
ISBN 13: 9783030105303
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. Neuware -This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis ¿ supported by numerous real data examples and reusable [R] code ¿ with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch. Artikel-Nr. 9783030105303
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Statistics for Data Scientists
Verlag:
Springer International Publishing, 2021
ISBN 10: 303010530X
ISBN 13: 9783030105303
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Zustand: New. Provides an accessible introduction to applied statistics for data scientists by uniquely combining hands-on exercises with mathematical theory and an introduction to probability theoryContains modern statistical methods that are often deem. Artikel-Nr. 257453266
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Statistics for Data Scientists
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Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis (Undergraduate Topics in Computer Science)
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Statistics for Data Scientists: An introduction to probability, statistics, and data analysis (Undergraduate Topics in Computer Science)
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