Volume 1: Fundamental Algorithms

• Chapter 1: Introduction to AI
  • CSV File Lab
• Chapter 2: Normalizing Data
  • Normalize/Denormalize Lab
  • Nominal Encoding Lab
• Chapter 3: Distance Metrics
  • OCR Lab
  • Distance Metrics Lab
• Chapter 4: Random Numbers
• Chapter 5: K-Means
• Chapter 6: Error Calculation
  • Error Calculation Lab
• Chapter 7: Towards Machine Learning
• Chapter 8: Optimization Algorithms
• Chapter 9: Discrete Optimization
  • TSP: Simulated Annealing
• Chapter 10: Linear Regression