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.
Machine Learning is apart from the root of artificial intelligence (AI). A machine can read and analyze the data. There are some wings of machine learning that are supervised, unsupervised, and reinforcement learning.
Big Data analytics started receiving increasing attention a few years ago. It all began by exploring how to deal with the increasing volume, variety, and velocity of the data. Today, developing effective and efficient approaches, algorithms, and frameworks are used as they are essential to deal with such data.
Earlier, data were limited, and experiments were also performed for limited scopes. With the advent of big data, internet technologies, massive information, and predictive analytics problems have exploded in complexity and behavior. There are increasing challenges in the area of data storage, management, and computations. There is a need to combine various researches related to Big Data technologies, statistics, and predictive analytics into a single volume.
The proposed book addresses a comprehensive range of advanced topics in Big Data technologies with statistical modeling towards predictive analytics. This book will be of significant benefit to the community as a useful guide of the latest research in this emerging field, i.e., predictive analytics. This book will help the studies in this field finding relevant information in one place.
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