Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm

Part I: Infrastructure Concepts 1. Knowledge is Power 2. A General Approach to Business Resilience System (BRS) 3. Data Warehousing, Data Mining, Data Modeling, and Data Analytics 4. Structured and Unstructured Data Processing 5. Mathematical Modeling Driven Predication 6. Fuzzy Logics: A New Method of Predictions 7. Neural Network Concept 8. Population - Human Growth Driving Ecology 9. Economic Factors 10. Risk Management, Risk Assessment, and Risk Analysis 11. Today's Fast-Paced Technology

Part II: The Impact of Energy on Tomorrow's World 12. Understanding of Energy 13. Economic Impact of Energy 14. Renewable Energy 15. Non-Renewable Energy 16. Nuclear Energy as Non-Renewable Energy Source 17. Energy Storage Technologies and their Role in Renewable Integration

Part III: The Mathematical Approach and Modeling 18. Predictive Analytics 19. Engineering Statistics 20. Data and Data Collection Driven Information 21. Statistical Forecasting - Regression and Time Series Analysis 22. Introduction to Forecasting: The Simplest Models 23. Notes on Linear Regression Analysis 24. Principles and Risks of Forecasting 25. Artificial Intelligence Driving Predictive and Forecasting Paradigm

Part IV: Python Programming Driven Artificial Intelligence 26. Python Programming Driven Artificial Intelligence 27. Artificial Intelligence, Machine Learning and Deep Learning Driving Big Data 28. Artificial Intelligence, Machine Learning and Deep Learning Use Cases

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• Tecnologia das fontes de energia renovável e alternativa
• Conversão e armazenagem da energia
• Ciência dos materiais

Business resilience system; data analytics; fuzzy logic; energy forecasting; energy management; data mining; economic factors; risk management; climate change; forecasting