Demystifying Artificial Intelligence

Preface

Introduction

• What is data?
• What is artificial intelligence (AI)?
• What is machine learning (ML)?
• What is deep learning?
• What is data science?
• Why do we need artificial intelligence (AI)?
• Conclusion
• Questions

Going Deeper into ML Concepts

• Machine learning and Maths
• Types of machine learning
• How does a machine "learn" to perform a task?
• How does the neural network "learn" to perform a task?
• What is reinforcement learning (RL)?
• What is transfer learning?
• What is computer vision?
• What is natural language processing (NLP)?
• Genetic algorithms in ML
• Generative adversarial networks (GANs)
• Recommendation
• Conclusion
• Questions

Business Perspective of AI

• How do AI/ML projects work in the real world?
• How to monetize AI?
• How can you leverage AI in your business?
• How to use AI in your existing products?
• Real-world use cases of AI
• Limitations and advantages of machine learning
• Conclusion
• Questions

How to Get Started, and Pitfalls to Avoid in AI

• How to get started in AI and machine learning?
• A realistic view of artificial intelligence (AI)
• Artificial intelligence and employment
• Pitfalls to avoid in artificial intelligence
• Conclusion
• Questions
• Quiz time!