Spatial Statistics for Data Science: Theory and Practice with R (Chapman & Hall/CRC Data Science Series)

Basketball Data Science: With Applicatio

📁 Basketball Data Science: With Applications in R (Chapman & Hall/CRC Data Science Series)

✍ Paola Zuccolotto, Marica Manisera 📂 Library 📅 2020 🏛 Chapman and Hall/CRC 🌐 English

Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player’s shots or doing an analysis of the

Modern Data Science with R (Chapman & Ha

📁 Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)

✍ Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton 📂 Library 📅 2021 🏛 Chapman and Hall/CRC 🌐 English

From a review of the first edition: "Modern Data Science with R… is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The Americ

Modern Data Science with R (Chapman & Ha

📁 Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)

✍ Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton 📂 Library 📅 2021 🏛 Chapman and Hall/CRC 🌐 English

From a review of the first edition: "Modern Data Science with R… is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The Americ

Data Science for Sensory and Consumer Sc

📁 Data Science for Sensory and Consumer Scientists (Chapman & Hall/CRC Data Science Series)

✍ Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis 📂 Library 📅 2023 🏛 Chapman and Hall/CRC 🌐 English

Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sensory and consumer science through real-world applications. It covers key topics including data manipulation, preparation, visual

Textual Data Science with R (Chapman & H

📁 Textual Data Science with R (Chapman & Hall/CRC Computer Science & Data Analysis)

✍ Mónica Bécue-Bertaut 📂 Library 📅 2019 🏛 Chapman and Hall/CRC 🌐 English

Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is i

Time Series for Data Science: Analysis a

📁 Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)

✍ Wayne A. Woodward, Bivin Philip Sadler, Stephen Robertson 📂 Library 📅 2022 🏛 Chapman and Hall/CRC 🌐 English

Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining informati