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Big Data Analytics Methods: Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing

Ghavami, Peter

 
9781547417957: Big Data Analytics Methods: Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing
ISBN 10: 1547417951 ISBN 13: 9781547417957
Verlag: De Gruyter, 2019

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Peter Ghavami, Senior Vice President, Head of Wholesale Data Science & Analytics at Bank of America, USA

Von der hinteren Coverseite

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.

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Verlag
De Gruyter
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
1547417951
ISBN 13 
9781547417957
Einband
Broschiert
Auflage
2
Anzahl der Seiten
254
Kontakt zum Hersteller
Walter de Gruyter GmbH
productsafety@degruyterbrill.com

Genthiner Straße 13
Berlin
10785
Deutschland