| 书目名称 | Statistics for Data Scientists |
| 副标题 | An Introduction to P |
| 编辑 | Maurits Kaptein,Edwin van den Heuvel |
| 视频video | |
| 概述 | Provides an accessible introduction to applied statistics by combining hands-on exercises with mathematical theory.Introduces statistical inference in a natural way, using finite samples and real data |
| 丛书名称 | Undergraduate Topics in Computer Science |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Textbook 2022 |
| 关键词 | Data Science; Probability Theory; Random Variables; Statistical Testing; Statistical Methods; Data Analys |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-10531-0 |
| isbn_softcover | 978-3-030-10530-3 |
| isbn_ebook | 978-3-030-10531-0Series ISSN 1863-7310 Series E-ISSN 2197-1781 |
| issn_series | 1863-7310 |
| copyright | Springer Nature Switzerland AG 2022 |
发表于 2025-3-21 19:18:34
