A language-independent representation of meanings to handle natural language processing. 3. Handling Uncertainty
For a system to act intelligently, it must represent real-world knowledge structured in a way that machines can process. N.P. Padhy covers: Bayesian belief networks
Artificial Intelligence and Intelligent Systems - N. P. Padhy Bayesian belief networks
Community-uploaded notes and slides covering the book's core concepts can be found on platforms like Scribd . Book Overview & Contents Bayesian belief networks
Introduction to probabilistic reasoning, Bayesian belief networks, and Dempster-Shafer theory. Pillar 4: Natural Language Processing (NLP)
The book is driven by the goal of solving real-world problems. Every concept is tied back to a practical application, which helps in maintaining relevance and interest.
The story begins with a young and ambitious engineer, Alex, who had just stumbled upon Dr. Rohan's book. As he delved into the world of AI, he became fascinated by the potential of intelligent systems to transform industries and improve lives.