├── .github └── workflows │ └── gh-pages.yml ├── .gitignore ├── .gitmodules ├── LICENSE ├── Makefile ├── README.md ├── archetypes └── default.md ├── config.toml ├── content ├── _index.md ├── appendix │ ├── 00_learner_slides.md │ ├── 01_cheat_sheets.md │ ├── 02_errata.md │ ├── 03_related.md │ ├── 04_data.md │ ├── _index.md │ └── cheatsheet_notation.pdf ├── chapters │ ├── 00_all │ │ └── _index.md │ ├── 01_ml_basics │ │ ├── 01-00-nutshell-basics.md │ │ ├── 01-01-what_is_ml.md │ │ ├── 01-02-data.md │ │ ├── 01-03-tasks.md │ │ ├── 01-04-models-parameters.md │ │ ├── 01-05-learner.md │ │ ├── 01-06-riskminimization.md │ │ ├── 01-07-optimization.md │ │ ├── 01-08-learnercomponents-hro.md │ │ └── _index.md │ ├── 02_supervised_regression │ │ ├── 02-00-nutshell-regression.md │ │ ├── 02-01-l2-loss.md │ │ ├── 02-02-ols.md │ │ ├── 02-03-l1-loss.md │ │ ├── 02-04-polynomials.md │ │ ├── Bananas.svg │ │ └── _index.md │ ├── 03_supervised_classification │ │ ├── 03-00-nutshell-classification.md │ │ ├── 03-01-tasks.md │ │ ├── 03-02-classification-basicdefs.md │ │ ├── 03-03-classification-linear.md │ │ ├── 03-04-classification-logistic.md │ │ ├── 03-05-classification-discranalysis.md │ │ ├── 03-06-classification-naivebayes.md │ │ └── _index.md │ ├── 04_evaluation │ │ ├── 04-00-nutshell-evaluation.md │ │ ├── 04-01-generalization-error.md │ │ ├── 04-02-measures-regression.md │ │ ├── 04-03-train.md │ │ ├── 04-04-test.md │ │ ├── 04-05-overfitting-underfitting.md │ │ ├── 04-06-resampling-1.md │ │ ├── 04-07-resampling-2.md │ │ ├── 04-08-measures-classification.md │ │ ├── 04-09-rocbasics.md │ │ ├── 04-10-roccurves.md │ │ ├── 04-11-partialauc-mcauc.md │ │ ├── 04-12-prcurves.md │ │ ├── 04-13-auc-mwu.md │ │ └── _index.md │ ├── 05_knn │ │ ├── 05-01-knn.md │ │ └── _index.md │ ├── 06_cart │ │ ├── 06-00-nutshell-cart.md │ │ ├── 06-01-predictions.md │ │ ├── 06-02-treegrowing.md │ │ ├── 06-03-splitcriteria-regression.md │ │ ├── 06-04-splitcriteria-classification.md │ │ ├── 06-05-computationalaspects.md │ │ ├── 06-06-stoppingpruning.md │ │ ├── 06-07-discussion.md │ │ ├── 06-08-literature.md │ │ └── _index.md │ ├── 07_forests │ │ ├── 07-00-nutshell-random-forest.md │ │ ├── 07-01-bagging.md │ │ ├── 07-02-basics.md │ │ ├── 07-03-oob-error.md │ │ ├── 07-04-featureimportance.md │ │ ├── 07-05-proximities.md │ │ ├── 07-06-literature.md │ │ └── _index.md │ ├── 08_neural_networks │ │ ├── 08-00-nutshell-nn.md │ │ ├── 08-01-intro.md │ │ ├── 08-02-single-neuron.md │ │ ├── 08-03-single-hidden-layer.md │ │ ├── 08-04-NN4multiclass.md │ │ ├── 08-05-mulitlayerNN.md │ │ ├── 08-06-history.md │ │ ├── 08-07-backprob1.md │ │ └── _index.md │ ├── 09_tuning │ │ ├── 09-00-nutshell-tuning.md │ │ ├── 09-01-intro.md │ │ ├── 09-02-tuning-tuningproblem.md │ │ ├── 09-03-basicalgos.md │ │ ├── 09-04-tuning-advanced.md │ │ ├── 09-05-tuning-pipelines.md │ │ ├── _index.md │ │ └── further-material.md │ ├── 10_nested_resampling │ │ ├── 10-01-nestedintro.md │ │ ├── 10-02-trainvalidtest.md │ │ ├── 10-03-nestedresampling.md │ │ └── _index.md │ ├── 11_advriskmin │ │ ├── 11-01-risk-minimizer.md │ │ ├── 11-02-loss-properties.md │ │ ├── 11-03-pseudo-residuals.md │ │ ├── 11-04-regression-l2-l1.md │ │ ├── 11-05-l1-deep-dive.md │ │ ├── 11-06-regression-further-losses.md │ │ ├── 11-07-classification-01.md │ │ ├── 11-08-classification-bernoulli.md │ │ ├── 11-09-bernoulli-deep-dive.md │ │ ├── 11-10-classification-logreg-deep-dive.md │ │ ├── 11-11-classification-brier-l1.md │ │ ├── 11-12-classification-further-losses.md │ │ ├── 11-13-proper-scoring-rules.md │ │ ├── 11-14-tree-splitting-deep-dive.md │ │ ├── 11-15-max-likelihood.md │ │ ├── 11-16-bias-variance-decomposition.md │ │ ├── 11-17-bias-variance-decomposition2.md │ │ ├── 11-18-bias-variance-deep-dive.md │ │ ├── 11-19-literature.md │ │ └── _index.md │ ├── 12_multiclass │ │ ├── 12-01-losses.md │ │ ├── 12-02-softmax-regression.md │ │ ├── 12-03-binary-reduction.md │ │ ├── 12-04-codebooks.md │ │ └── _index.md │ ├── 13_information_theory │ │ ├── 13-01-entropy.md │ │ ├── 13-02-entropy2.md │ │ ├── 13-03-diffent.md │ │ ├── 13-04-kl.md │ │ ├── 13-05-cross-entropy-kld.md │ │ ├── 13-06-ml.md │ │ ├── 13-07-mutual-info.md │ │ ├── 13-08-mutual-info2.md │ │ ├── 13-09-sourcecoding.md │ │ ├── 13-10-sourcecoding2.md │ │ ├── 13-11-mi-deepdive.md │ │ ├── 13-12-literature.md │ │ └── _index.md │ ├── 14_cod │ │ ├── 14-01-cod.md │ │ ├── 14-02-cod-examples.md │ │ └── _index.md │ ├── 15_regularization │ │ ├── 15-01-regu-intro.md │ │ ├── 15-02-l2.md │ │ ├── 15-03-l1.md │ │ ├── 15-04-l1vsl12.md │ │ ├── 15-05-enetlogreg.md │ │ ├── 15-06-other.md │ │ ├── 15-07-nonlin.md │ │ ├── 15-08-bayes.md │ │ ├── 15-09-wd.md │ │ ├── 15-10-geom-l2.md │ │ ├── 15-11-geom-l1.md │ │ ├── 15-12-early-stopping.md │ │ ├── 15-13-ridge-deep.md │ │ ├── 15-14-lasso-deep.md │ │ ├── 15-15-literature.md │ │ └── _index.md │ ├── 16_linear_svm │ │ ├── 16-01-hard-margin.md │ │ ├── 16-02-hard-margin-dual.md │ │ ├── 16-03-soft-margin.md │ │ ├── 16-04-erm.md │ │ ├── 16-05-optimization.md │ │ └── _index.md │ ├── 17_nonlinear_svm │ │ ├── 17-01-featuregen.md │ │ ├── 17-02-kernel-trick.md │ │ ├── 17-03-kernel-poly.md │ │ ├── 17-04-rkhs-repr.md │ │ ├── 17-05-kernel-rbf.md │ │ ├── 17-06-model-sel.md │ │ └── _index.md │ ├── 18_boosting │ │ ├── 18-01-intro-adaboost.md │ │ ├── 18-02-gradient-boosting-concept.md │ │ ├── 18-03-gradient-boosting-illustration.md │ │ ├── 18-04-gradient-boosting-regularization.md │ │ ├── 18-05-gradient-boosting-classification.md │ │ ├── 18-06-gradient-boosting-trees-1.md │ │ ├── 18-07-gradient-boosting-trees-2.md │ │ ├── 18-08-gradient-boosting-xgboost.md │ │ ├── 18-09-CWB-1.md │ │ ├── 18-10-CWB-2.md │ │ ├── 18-11-CWB-GLM.md │ │ ├── 18-12-adv-CWB.md │ │ ├── 18-13-literature.md │ │ └── _index.md │ ├── 19_gaussian_processes │ │ ├── 19-01-bayes-lm.md │ │ ├── 19-02-basic.md │ │ ├── 19-03-covariance.md │ │ ├── 19-04-prediction.md │ │ ├── 19-05-training.md │ │ ├── 19-06-literature.md │ │ └── _index.md │ ├── 20_imbalanced_learning │ │ ├── 20-01-intro.md │ │ ├── 20-02-perf-msr.md │ │ ├── 20-03-cs-1.md │ │ ├── 20-04-cs-2.md │ │ ├── 20-05-cs-3.md │ │ ├── 20-06-cc-1.md │ │ ├── 20-07-cc-2.md │ │ ├── 20-08-smpl-1.md │ │ ├── 20-09-smpl-2.md │ │ └── _index.md │ ├── 21_multitarget_learning │ │ ├── 21-01-intro.md │ │ ├── 21-02-losses.md │ │ ├── 21-03-methods-1.md │ │ ├── 21-04-methods-2.md │ │ └── _index.md │ ├── 22_online_learning │ │ ├── 22-01-intro.md │ │ ├── 22-02-simple.md │ │ ├── 22-03-ftl.md │ │ ├── 22-04-ftrl.md │ │ ├── 22-05-ftl-oqo.md │ │ ├── 22-06-oco-1.md │ │ ├── 22-07-oco-2.md │ │ └── _index.md │ ├── 30_feature_selection │ │ ├── 30-01-introduction.md │ │ ├── 30-02-motivating-examples.md │ │ ├── 30-03-filters1.md │ │ ├── 30-04-filters2.md │ │ ├── 30-05-wrapper.md │ │ ├── 30-06-literature.md │ │ └── _index.md │ ├── _index.md │ ├── coding_ml_python │ │ └── _index.md │ └── coding_ml_r │ │ └── _index.md ├── contributing │ └── _index.md ├── exercises │ └── _index.md ├── literature │ └── 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