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

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. Mo...

Полное описание

Библиографическая информация
Главный автор:	Ghavami, Peter
Формат:	Электронная книга
Язык:	English
Публикация:	Berlin ; Boston De Gruyter, [2019]
Редактирование:	2nd Edition.
Предметы:	Big data. Data analysis. Data mining. Machine learning. Neural networks. BUSINESS & ECONOMICS / Information Management. Natural language processing (Computer science) EBSCO eBooks Electronic books.
Online-ссылка:	EBSCOhost Перейти в каталог НБ ТГУ

Оглавление:

Frontmatter
Acknowledgments
About the Author
Contents
Introduction
Part I: Big Data Analytics
Chapter 1. Data Analytics Overview
Chapter 2. Basic Data Analysis
Chapter 3. Data Analytics Process
Part II: Advanced Analytics Methods
Chapter 4. Natural Language Processing
Chapter 5. Quantitative Analysis{u2014}Prediction and Prognostics
Chapter 6. Advanced Analytics and Predictive Modeling
Chapter 7. Ensemble of Models: Data Analytics Prediction Framework
Chapter 8. Machine Learning, Deep Learning{u2014}Artificial Neural Networks
Chapter 9. Model Accuracy and Optimization
Part III: Case Study{u2014}Prediction and Advanced Analytics in Practice
Chapter 10. Ensemble of Models{u2014}Medical Prediction Case Study: Data Types, Data Requirements and Data Pre-Processing
Appendices
References
Index

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

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