This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples throughout using real-world data that readers...Lasīt vairāk
(Izdošanas datums: 03-Jul-2025, Hardback, Izdevniecība: Cambridge University Press, ISBN-13: 9781009180085)
This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples throughout using real-world data that readers...Lasīt vairāk
Copula additive distributional regression enables the joint modeling of multiple outcomes, an essential aspect of many real-world research problems. This book provides an accessible overview of this modeling approach, with a particular focus on it...Lasīt vairāk
(Izdošanas datums: 01-May-2025, Hardback, Izdevniecība: Cambridge University Press, ISBN-13: 9781009221856)
This book introduces relevant and established data-driven modeling tools currently in use or in development, which will help readers master the art and science of constructing models from data and dive into different application areas. It presents st...Lasīt vairāk
Steven E. Rigdon, Ronald D. Fricker, Jr, Douglas C. Montgomery
(Izdošanas datums: 14-Nov-2024, Hardback, Izdevniecība: Cambridge University Press, ISBN-13: 9781107113046)
This textbook is designed for students in statistics, data science, biostatistics, engineering, and physical science programs who need a solid course in the fundamental concepts, methods and theory of statistics to understand, use, and build on moder...Lasīt vairāk
This textbook is designed for students in statistics, data science, biostatistics, engineering, and physical science programs who need a solid course in the fundamental concepts, methods and theory of statistics to understand, use, and build on moder...Lasīt vairāk
This book explains how to use stated preference survey methods to measure peoples preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates information on...Lasīt vairāk
This book introduces Probability Theory with R software and explains abstract concepts in a simple and easy-to-understand way by combining theory and computation. It discusses conceptual and computational examples in detail to provide a thorough und...Lasīt vairāk
Unlike the first edition, the new edition has been split into two books.Thoroughly revised and updated, this is the first book of the second edition of Introduction to Data Science: Data Wrangling and Visualization with R. It introduces ski...Lasīt vairāk
Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models...Lasīt vairāk
(Izdošanas datums: 28-Sep-2023, Hardback, Izdevniecība: Cambridge University Press, ISBN-13: 9781009309073)
Learn about probability as it is used in computer science with this rigorous, yet highly accessible, undergraduate textbook. Fundamental probability concepts are explained in depth, prerequisite mathematics is summarized, and a wide range of computer...Lasīt vairāk
Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive yet rigorous understanding of ho...Lasīt vairāk
Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models...Lasīt vairāk
(Izdošanas datums: 17-Aug-2021, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781119692386)
This book is ideal for courses on Probability typically taught in Mathematics and/or Statistics departments but could also be used in Engineering or Data Science departments. This book could also serve as a supplemental or review text for courses on...Lasīt vairāk
This text grew out of the author’s notes for a course that he has taught for many years to a diverse group of undergraduates. The early introduction to the major concepts engages students immediately, which helps them see...Lasīt vairāk
This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures and numerical results are reproducible usin...Lasīt vairāk
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The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book-- Introduction to Data Sci...Lasīt vairāk
