Machine Learning School

M1-INTRO: Introduction to Artificial Intelligence and Machine Learning M2-DATA-ANALYSIS: The Data Analysis Process M3-SIMPLE-ML: Introduction to Simple Machine Learning Methods M4-CLUST: Cluster Analysis M5-CONVEX-OPTI: Convex Optimization M6-OPTI-LEARN: Optimization-based Machine Learning M7-EVAL: Evaluating Model Performance
M8-INTERPRET-TABULAR: Interpretability of Models on Tabular Data
M9-AUTODIFF-ANN: Introduction to Neural Networks and Automatic Differentiation M10-DEEP-LEARN: Deep Learning M11-DEEP-LEARN-ADVANCED: Advanced Approaches in Deep Learning M12-INTERPRET-DEEP: Interpretability Methods for Deep Learning M13-DEEP-LEARN-SEQ: Deep Learning for Sequential Data M14-ENSEMBLE: Ensemble Methods M15-DIMRED: Dimensionality Reduction M16-EMBED: Embeddings M17-GP-HYPEROPT: Gaussian Processes and Hyperparameter Optimization M18-RL: Reinforcement Learning M19-DEEP-RL: Deep Reinforcement Learning M20-SVM: Support Vector Machines M21-SEARCH: Search Methods M22-ADVERSARIAL-SEARCH: Search Methods in Adversarial Contexts M23-METAHEURISTICS: Metaheuristic Optimization M24-STATE-SPACE: State-space Approaches in Control M25-BAYES-NET: Bayesian Networks M26-GAMING: AI and Gaming M27-FAIRNESS: Fairness in Machine Learning Team Project

M8-INTERPRET-TABULAR: Interpretability of Models on Tabular Data

11h 0min
Why interpretability can be crucial; prediction vs. inference; model-agnostic interpretability methods (LIME, partial dependence plots, permutation importance, ...)
Main Content - Copy
Acquisition
1 Lecture content
Content: – Why interpretability can be crucial; – Prediction vs. inference; – Model-agnostic interpretability methods – LIME, – Partial dependence plots; – Feature importance (permutation, etc.);
2h 0min
Practice
2 Colab Notebooks
A set of colab notebooks, regarding especially these topics: – Interpretability for tabular ML: sample notebooks; – ...
3h 0min
0
Investigation
3 Independent study time + review
The estimated additional time required for studying the material independently, using the lecture videos/slides and also referencing other literature and material, as necessary. Facilitates correct understanding of the material. This activity also includes the time required for review before exams.
5h 30min
Assessment
4 Quiz activities
Quiz activities meant to provide quick, unassessed feedback to students regarding their grasp of the material.
30 min

 

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