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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.
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.
Introduction
PART I: Big Data Analytics
Chapter 1. Data Analytics Overview
Chapter 2. Basic Data Analysis
Chapter 3. Data Visualization Tools
PART II: Advanced Analytics Methods
Chapter 4. Natural Language Processing
Chapter 5. Quantitative Analysis - Prediction and Prognostics
Chapter 6. Advanced Analytics & Predictive Modeling
Chapter 7. Ensemble of Models
Chapter 8. Machine Learning, Deep Learning ¿ Artificial Neural Networks
Chapter 9. Model Accuracy & Optimization
PART III: Case Study ¿ Prediction & Advanced Analytics in Practice
Chapter 10: Ensemble of Models ¿ Medical Prediction Case Study
Appendix A: Prognostics Methods
Appendix B: A Neural Network Example
Appendix C: Back Propagation Algorithm Derivation
Appendix D: NeuroSolutions Software Description
Appendix E: The Oracle Program
References
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Betriebswirtschaft |
| Genre: | Importe, Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Inhalt: |
XVI
238 S. 88 s/w Illustr. 14 s/w Tab. 88 b/w ill. 14 b/w tbl. |
| ISBN-13: | 9781547417957 |
| ISBN-10: | 1547417951 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Ghavami, Peter |
| Auflage: | 2nd Edition |
| Hersteller: |
De Gruyter
De|G Press Walter de Gruyter Inc. |
| Maße: | 240 x 170 x 14 mm |
| Von/Mit: | Peter Ghavami |
| Erscheinungsdatum: | 16.12.2019 |
| Gewicht: | 0,438 kg |
Introduction
PART I: Big Data Analytics
Chapter 1. Data Analytics Overview
Chapter 2. Basic Data Analysis
Chapter 3. Data Visualization Tools
PART II: Advanced Analytics Methods
Chapter 4. Natural Language Processing
Chapter 5. Quantitative Analysis - Prediction and Prognostics
Chapter 6. Advanced Analytics & Predictive Modeling
Chapter 7. Ensemble of Models
Chapter 8. Machine Learning, Deep Learning ¿ Artificial Neural Networks
Chapter 9. Model Accuracy & Optimization
PART III: Case Study ¿ Prediction & Advanced Analytics in Practice
Chapter 10: Ensemble of Models ¿ Medical Prediction Case Study
Appendix A: Prognostics Methods
Appendix B: A Neural Network Example
Appendix C: Back Propagation Algorithm Derivation
Appendix D: NeuroSolutions Software Description
Appendix E: The Oracle Program
References
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Betriebswirtschaft |
| Genre: | Importe, Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Inhalt: |
XVI
238 S. 88 s/w Illustr. 14 s/w Tab. 88 b/w ill. 14 b/w tbl. |
| ISBN-13: | 9781547417957 |
| ISBN-10: | 1547417951 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Ghavami, Peter |
| Auflage: | 2nd Edition |
| Hersteller: |
De Gruyter
De|G Press Walter de Gruyter Inc. |
| Maße: | 240 x 170 x 14 mm |
| Von/Mit: | Peter Ghavami |
| Erscheinungsdatum: | 16.12.2019 |
| Gewicht: | 0,438 kg |
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