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L O A D I N G

Artificial Intelligence

Beginners

  1. Intro to Artificial Intelligence 
    • What is AI
    • Introduction to AI Level
    • A Brief History of Artificial Intelligence
    • Type of Artificial Intelligence
    • Where is AI used? Example
    • Why is AI booming now?
    • Setting Up Environment with Anaconda
  2. Logic & Theorem Proving 
    • Review prepositional & predicate Calculus
    • Resolution
  3. Production Rules 
    • Procedural versus declarative knowledge
    • Forward versus backward reasoning
    • Matching
    • Control Knowledge 
  4. Statistical Reasoning
    • Classical logic versus nonmonotonic logic
    • Default logic
    • Circumscription
    • Fuzzy Logic
    • Typicality
    • Levels of confidence
    • Baye’s Theorem
    • Dempster-Shafer theory of evidence 
  5. Slot & Filter Structures 
    • Semantic nets
    • Frames
    • Scripts

Advanced

  1. Learning
    • Rote Learning
    • Learning by taking advice
    • Explanation based learning
    • Discovery
    • Analogy 
  2. Computer Vision 
    • Defining the problem
    • Overview of solution: Marr’s Theory
    • Early processing: Gray level primal sketch
    • Primal sketch to 2.5D sketch
    • Late processing: 2.5D sketch to 3D sketch 
  3. Natural Language Processing
    • Defining the problem
    • Overview of solution
    • Syntactic Analysis: Context-free grammars
    • Transformational grammars
    • Parsing: Top-down, bottom-up & chart parsing
    • Semantics: Thematic roles, Aktionsart, Coercion, Cospecification, Extended reasoning with KB
    • Discourse & Pragmatic Processing: Modelling 
  4. Connectionism
    • Biological basis of connections
    • Historical background to connections
    • McCulloch & Pits formal neuron, Hebb's learning rule, Rosenblatt's perception
    • Associations
    • Hopfield Networks
    • Backpropagation
    • Connectionist representations & representational adequacy 
  5. Expert System in AI
    • What is an Expert System?
    • Characteristic of Expert System
    • Components of the expert system
    • Other key terms used in Expert systems
    • Participant in Expert Systems Development
    • Conventional System vs. Expert system
    • Human expert vs. expert system
    • Benefits of expert systems
    • Limitations of the expert system
    • Applications of expert systems
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