# Week 2.6

## Machine learning

- [Book theory](https://mude.citg.tudelft.nl/book/2025/ml/overview.html)
  - [Introduction and k-Nearest Neighbors](https://mude.citg.tudelft.nl/book/2025/ml/knn_interactive.html)
  - [Decision Theory](https://mude.citg.tudelft.nl/book/2025/ml/decision_theory_interactive.html)
  - [Linear Basis Function Models and Regularization](https://mude.citg.tudelft.nl/book/2025/ml/linear_models_interactive.html)
  - [Stochastic Gradient Descent](https://mude.citg.tudelft.nl/book/2025/ml/ridge_sgd_interactive.html)
  - [Feedforward Neural Networks](https://mude.citg.tudelft.nl/book/2025/ml/nn_interactive.html)
    - [MLP Application: Predicting Pressure in a Water Network](https://mude.citg.tudelft.nl/book/2025/ml/mlp.html)
  - [Review and Quiz](https://mude.citg.tudelft.nl/book/2025/ml/review.html)
- [Lecture slides](https://github.com/TUDelft-MUDE/source-files/raw/main/file/slides_ML.pdf)
- [Collegerama recording](https://collegeramavideoportal.tudelft.nl/catalogue/cegm1000/presentation/f1481e47a3d847d79e1cc499d0fb80461d?academicYear=2025-2026-cegm1000-25)
- [Workshop assignment: Fitting me Softly](https://mude.citg.tudelft.nl/workbook-2025/assignments/WS2.6/README.html)
- [Group assignment: Rapture start Leaking](https://mude.citg.tudelft.nl/workbook-2025/assignments/GA2.6/README.html)

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## Programming

- Programming preparations for workshop and group assignments
  - [Programming assignment 2.6: Split the party](https://mude.citg.tudelft.nl/workbook-2025/assignments/PA2.6/README.html)
    - [Train/validation/test splits](https://mude.citg.tudelft.nl/workbook-2025/assignments/PA2.6/split.html#)