Big Data Analytics Methods - Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing (Paperback, 2nd Edition)

Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.

General

Imprint:	De Gruyter
Country of origin:	United States
Release date:	December 2019
First published:	2020
Authors:	Peter Ghavami
Dimensions:	240 x 170 x 15mm (L x W x T)
Format:	Paperback - Paperback (DE)
Pages:	254
Edition:	2nd Edition
ISBN-13:	978-1-5474-1795-7
Categories:	Books > Business & Economics > Finance & accounting > General Books > Computing & IT > General theory of computing > General Books > Business & Economics > Business & management > Management of specific areas > General Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	1-5474-1795-1
Barcode:	9781547417957

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