Statistics for Data Scientists

Name: Statistics for Data Scientists
SKU: 28833478
Price: 140.00 NZD
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An Introduction to Probability, Statistics, and Data Analysis

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Paperback / softback

Series:

Undergraduate Topics in Computer Science

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Description

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.

Author Biography:

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.

Release date NZ

February 3rd, 2022

Author

Audience

Professional & Vocational

Edition

1st ed. 2022

Illustrations

19 Illustrations, color; 34 Illustrations, black and white; XXIV, 321 p. 53 illus., 19 illus. in color.

Pages

321

Series

Undergraduate Topics in Computer Science

ISBN-13

9783030105303

Product ID

28833478

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