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

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...

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Bibliographic Details
Main Author: Ghavami, Peter
Format: eBook
Language:English
Published: Berlin ; Boston De Gruyter, [2019]
Edition:2nd Edition.
Subjects:
Big data.
Data analysis.
Data mining.
Machine learning.
Neural networks.
BUSINESS & ECONOMICS / Information Management.
Natural language processing (Computer science)
EBSCO eBooks
Electronic books.
Online Access:EBSCOhost
Перейти в каталог НБ ТГУ
Table of Contents:
  • 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

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