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Artificial Intelligence for Engineers Basics and Implementations /

This textbook presents basic knowledge and essential toolsets needed for people who want to step into artificial intelligence (AI). The book is especially suitable for those college students, graduate students, instructors, and IT hobbyists who have an engineering mindset. That is, it serves the ide...

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Autor principal: Liu, Zhen "Leo" (Autor)
Autor corporatiu: SpringerLink (Online service)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edició:1st ed. 2025.
Matèries:
Electronic circuit design.
Computational intelligence.
Machine learning.
Electronics Design and Verification.
Computational Intelligence.
Machine Learning.
Accés en línia:https://doi.org/10.1007/978-3-031-75953-6
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Taula de continguts:
  • Preparation Knowledge: Basics of AI
  • Tools for Artificial Intelligence
  • Linear Models
  • Decision Trees
  • Support Vector Machine
  • Bayesian Algorithms
  • Artificial Neural Network
  • Deep Learning
  • Ensemble Learning
  • Clustering
  • Dimension Reduction
  • Anomaly Detection
  • Association Rule Leaming
  • Basics of and Value-Based Reinforcement Learning
  • Policy-Based Reinforcement Learning.

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