Название: Predictive Analytics Using Statistics and Big dаta: Concepts and Modeling
Автор: Krishna Kumar Mohbey, Arvind Pandey, Dharmendra Singh Rajput
Издательство: Bentham Science Publishers
Год: 2020
Страниц: 124
Язык: английский
Формат: pdf (true)
Размер: 12.7 MB
This book presents a selection of the latest and representative developments in predictive analytics using Big Data technologies. It focuses on some critical aspects of Big Data and Machine Learning (ML) and provides studies for readers. The chapters address a comprehensive range of advanced data technologies used for statistical modeling towards predictive analytics. Predictive analytics can be done with the help of various Big Data technologies and statistical approaches. Big Data technologies include Hadoop, Hive, HBase, and Spark. There are numerous statistical approaches to perform predictive analytics, including Bayesian analysis, Sequential analysis, Statistical prediction, risk prediction, and decision analytics.
Автор: Krishna Kumar Mohbey, Arvind Pandey, Dharmendra Singh Rajput
Издательство: Bentham Science Publishers
Год: 2020
Страниц: 124
Язык: английский
Формат: pdf (true)
Размер: 12.7 MB
This book presents a selection of the latest and representative developments in predictive analytics using Big Data technologies. It focuses on some critical aspects of Big Data and Machine Learning (ML) and provides studies for readers. The chapters address a comprehensive range of advanced data technologies used for statistical modeling towards predictive analytics. Predictive analytics can be done with the help of various Big Data technologies and statistical approaches. Big Data technologies include Hadoop, Hive, HBase, and Spark. There are numerous statistical approaches to perform predictive analytics, including Bayesian analysis, Sequential analysis, Statistical prediction, risk prediction, and decision analytics.