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