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A first course in artificial intelligence

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Oguike, Osondu (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sharjah : Bentham Science Publishers, 2021.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction to artificial intelligence. Definition of artificial intelligence
  • History of artificial intelligence and projection for the future
  • Emerging artificial intelligence applications
  • Expert system. Expert system basics
  • Knowledge engineering
  • Propositional logic
  • Natural language processing. Fundamentals of natural language processing
  • Text pre-processing
  • Text representation
  • Parts of speech tagging
  • Text tagging/text classification
  • Text summarization
  • Sentiment analysis
  • NLP, using Python programming language
  • Machine learning. Introduction to machine learning
  • Data preparation
  • Supervised machine learning
  • Simple regression algorithms for non-linear relationships
  • Unsupervised machine learning algorithms
  • Waikato environment for knowledge analysis, WEKA
  • Neural network
  • Deep learning
  • Reinforcement learning
  • Machine learning applications. Analyzing terrorism dataset using classification based algorithms
  • Analyzing terrorism dataset using probability distribution functions
  • Polynomial regression algorithm for analysing COVID-19 dataset
  • Sensory perception. Computer vision
  • Speech recognition
  • Tactile sensing
  • Robotics. Foundations of robotics
  • Humanoid robots
  • Autonomous/robotic vehicles
  • Metrics for assessing the performance of robots.