Artificial Intelligence for Engineers: Basics and Implementations 2025th Edition
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Artificial Intelligence for Engineers: Basics and Implementations 2025th Edition

Artificial Intelligence for Engineers: Basics and Implementations 2025th Edition

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Description

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 idea of getting the job done quickly and neatly with an adequate understanding of why and how. It is designed to allow one to obtain a big picture for both AI and essential AI topics within the shortest amount of time.

📘 Table of Contents

  1. Preparation Knowledge: Basics of AI
  2. Tools for Artificial Intelligence
  3. Linear Models
  4. Decision Trees
  5. Support Vector Machines
  6. Bayesian Algorithms
  7. Artificial Neural Networks
  8. Deep Learning
  9. Ensemble Learning
  10. Clustering
  11. Dimension Reduction
  12. Anomaly Detection
  13. Association Rule Learning
  14. Value-Based Reinforcement Learning
  15. Policy-Based Reinforcement Learning

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