Big Data Analytics Methods is popular PDF and ePub book, written by Peter Ghavami in 2019-12-16, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Big Data Analytics Methods can be Read Online from any device for your convenience.
Big Data Analytics Methods Book PDF Summary
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.
Detail Book of Big Data Analytics Methods PDF
- Author : Peter Ghavami
- Release : 16 December 2019
- Publisher : Walter de Gruyter GmbH & Co KG
- ISBN : 9781547401581
- Genre : Business & Economics
- Total Page : 282 pages
- Language : English
- PDF File Size : 21,6 Mb
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