It includes discussions and learning about the history of AI, state-space problem representations, understand machine learning algorithms, intelligent agents, logical agents, game playing, uninformed and heuristic search and constraint satis
DurationThis workshop follows a practical approach to understand Artificial Intelligence tools led by real-life exercises and examples.
Learning Outcomes:
It includes discussions and learning about the history of AI, state-space problem representations, understand machine learning algorithms, intelligent agents, logical agents, game playing, uninformed and heuristic search and constraint satisfaction problems.
Outline:
- Introduction to Artificial Intelligence and its history, what are the intelligent agents
- Learn basic Python programming and logic implementation
- Create AI algorithm to filter incoming email and identify spam
- Heuristic search, algorithm and their use in social media
- Create AI algorithm to personalize experience & recommend products
- Advantages of AI and how it can improve organizational performance
- Real-life examples of companies & countries using AI to achieve radical breakthroughs in services
- Fraud detection case study: Banks use AI to determine unusual account activity
- How to apply AI to solve problems and address challenges; limitations of current AI technologies
- Create AI algorithm to detect phone theft or unusual activity
- Classic technologies: search & minimax algorithms, neural networks, tracking, robot localization
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