Isbn: 9781108837774 - time series for data scientists: data management, description, modeling and forecasting (11 Ergebnisse)

hardcover. Zustand: Very Good.

hardcover. Zustand: Fine.

hardcover. Zustand: Very Good. In stock ready to dispatch from the UK.

Hardcover. Zustand: Like New. First Edition. Hardback book in nearly new condition: firm and square with strong joints. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.…

Zustand: New.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 550 pages. 9.84x6.89x1.02 inches. In Stock.

Zustand: New. 2023. New. hardcover. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Learn by doing with this user-friendly introduction to time series data analysis in R. This book explores the intricacies of managing and cleaning time series data of different sizes, scales and granularity, data preparation for analysis and visualization, and different approaches to classical and machine learning time series modeling and forecasting. A range of pedagogical features support students, including end-of-chapter exercises, problems, quizzes and case studies. The case studies are designed to stretch the learner, introducing larger data sets, enhanced data management skills, and R packages and functions appropriate for real-world data analysis. On top of providing commented R programs and data sets, the book's companion website offers extra case studies, lecture slides, videos and exercise solutions. Accessible to those with a basic background in statistics and probability, this is an ideal hands-on text for undergraduate and graduate students, as well as researchers in data-rich disciplines.…

Hardcover. Zustand: Brand New. 550 pages. 9.84x6.89x1.02 inches. In Stock.

Zustand: New. &Uumlber den AutorJuana Sanchez is Senior Lecturer in Statistics at the University of California, Los Angeles. She is Editor of the Datasets and Stories section of the ASA s Journal of Statistics and Data Science Education and is the au.