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SCM465

Required Readings

Lesson 3 Assigned Reading:

  • CLO4: Robertson (2020). Chapter 5. Using Supply Chain Analytics to Enhance Supply Chain Design Processes
  • CLO4: Vandeput (2021). Part II: Machine Learning. 12 Machine Learning
  • CLO4: Vandeput (2021). Part II: Machine Learning. 13 Tree
  • CLO4: Vandeput (2021). Part II: Machine Learning. 14 Parameter Optimization
  • CLO4: Vandeput (2021). Part II: Machine Learning. 15 Forest
  • CLO4: Vandeput (2021). Part II: Machine Learning. 16 Feature Importance
  • CLO4: Vandeput (2021). Part II: Machine Learning. 17 Extremely Randomized Trees
  • CLO5: Robertson (2020). Chapter 6. Using Supply Chain Analytics to Enhance Supply Chain Execution Processes
  • CLO5: Vandeput (2021). Part II: Machine Learning. 18 Feature Optimization #1
  • CLO5: Vandeput (2021). Part II: Machine Learning. 19 Adaptive Boosting
  • CLO5: Vandeput (2021). Part II: Machine Learning. 20 Demand Drivers and Leading Indicators
  • CLO5: Vandeput (2021). Part II: Machine Learning. 21 Extreme Gradient Boosting
  • CLO5: Vandeput (2021). Part II: Machine Learning. 22 Categorical Features
  • CLO5: Vandeput (2021). Part II: Machine Learning. 23 Clustering
  • CLO5: Vandeput (2021). Part II: Machine Learning. 24 Feature Optimization #2
  • CLO5: Vandeput (2021). Part II: Machine Learning. 25 Neural Networks

Optional Resources