With the development of computing technologies in today''s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, acad
Pris: kr 3313.00 fra Norli
Butikk | Pris | |
---|---|---|
kr 3313.00 | Besøk butikk |
Open Source Software (OSS) development presents a contrast to traditional production and innovation methods and an unlikely contestant in the marketplace. The emergence of open source software has fundamentally changed the software business. This book...
kr 1323.00
Mer informasjon
<p>This third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book provides the reader with the...
kr 720.00
Mer informasjon
Ott and Longnecker''s AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little...
kr 944.00
Mer informasjon