AI & ML Optimization

1. INTRODUCTION
   1.1. THE NEED FOR AI
   1.2. THE NEXT DIGITAL FRONTIER: ARTIFICIAL INTELLIGENCE?
   1.3. ARTIFICIAL INTELLIGENCE DEFINITION
2. ARTIFICIAL INTELLIGENCE DEFINITION
3. INTRODUCTION TO DEEP LEARNING
4. AI – THE BURNING NEED5. PROCESS THROUGH A WHICH AI SYSTEMS LEARN
   4.1 A DATA ANALYST
   4.2 MACHINE
5. THE TOP 5 FACTORS DRIVING ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND BIG DATA DEVELOPMENT
   5.1 ARCHITECTURE FOR NEXT- GENERATION COMPUTING
   5.2 OPEN DATA
   5.3 DEEP NEURAL NETWORKS
   5.4 ETHICAL AND LEGAL CONCERNS
   5.5 DATASETS FROM THE PAST
6. APPLICATIONS OF AI8. BEST STRATEGIES TO SUCCESSFULLY IMPLEMENT AI
7. THE ADVANTAGES OF AI
8. HOW TO MAKE THE FUTURE ARTIFICIAL INTELLIGENCE RICH
9. THE ADVANTAGES OF AI

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