Big data analytics methods [electronic resource] : analytics techniques in data mining, deep learning and natural language processing / Peter Ghavami.
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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| Language: | English |
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Boston :
De Gruyter,
[2020]
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| Edition: | Second edition. |
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| Online Access: | |
| Format: | Electronic eBook |
Contents:
- Data analytics overview
- Basic data analysis
- Data analytics process
- Natural language processing
- Quantitative analysis - prediction and prognostics
- Advanced analytics and predictive modeling
- Ensemble of models: data analytics prediction framework
- Machine learning, deep learning - artificial neural networks
- Model accuracy and optimization
- Ensemble of models - medical prediction case study: data types, data requirements and data pre-processing.