Cleanup style folder

[jemus42]

Goals of this PR:

• Remove unneeded files from style
• Clean up preamble.tex and common.tex (and related files) to remove unneeded and vestigial content (hopefully streamlining the preamble in the process, and making it easier to understand/maintain)
• (!) If necessary, slides may need to be updated to e.g. remove superfluous code (e.g. the knitrout environment), potentially leading to merge conflicts

Collateral damage that's probably not hurting anything: All my editors are set up to remove trailing whitespaces and ensure files end with a newline because POSIX.

Special care needs to be taken that after removing seemingly unneeded code, the slides not only compile without error, but also look correct, which is not entirely possible to achieve programmatically (I think)

Next steps:

• Validate that compiled slides still look ok
• Consolidate preamble.tex / common.tex / lmu-lecture.sty (at least common.tex likely unneeded as contents can be added to preamble or .sty file?)

[github-actions]

Lecture Slide Status Overview

2024-03-22 16:03:18 CET

This is a reduced version of the full status check rendered for each
lecture repository.
It does not link to rendered PDF files and only produces markdown
tables, which allows it to be appended to a pull request. It serves as a
rough check to ensure that the PR does not cause major breakage.

Branch	Last Commit	By	Message
main	2024-03-20 12:05:42	Lukas Burk	Update workflows to use peter-evans/create-pull-request@v6

Status of the lecture_service repo (time in UTC)

Lecture	Branch	Last Commit	By	Message
lecture_i2ml	?	2024-03-22 14:57:33	GitHub	Merge 701af15 into 98da028

Latest commits per lecture (times in UTC)

lecture_i2ml

11 topics with a total of 67 slides

cart

Slide	Compiles?	Comparison	Note
slides-cart-computationalaspects	✅	✅
slides-cart-discussion	✅	✅
slides-cart-nutshell	✅	✅
slides-cart-predictions	✅	✅
slides-cart-splitcriteria-classification	✅	✅
slides-cart-splitcriteria-regression	✅	❓	Dissimilar pages: 9
slides-cart-stoppingpruning	✅	✅
slides-cart-treegrowing	✅	❓	Dissimilar pages: 6

evaluation

Slide	Compiles?	Comparison	Note
slides-evaluation-auc-mwu	✅	✅
slides-evaluation-generr	✅	✅
slides-evaluation-mcauc	✅	✅
slides-evaluation-measures-classification	✅	❓	Dissimilar pages: 9, 10
slides-evaluation-measures-regression	✅	❓	Dissimilar pages: 3, 4
slides-evaluation-nutshell	✅	✅
slides-evaluation-overfitting-underfitting	✅	✅
slides-evaluation-partialauc	✅	✅
slides-evaluation-prcurves	✅	✅
slides-evaluation-resampling-1	✅	✅
slides-evaluation-resampling-2	✅	✅
slides-evaluation-rocbasics	✅	✅
slides-evaluation-roccurves	✅	❓	Dissimilar pages: 2, 8, 10, 11, 12
slides-evaluation-test	✅	✅
slides-evaluation-train	✅	✅

forests

Slide	Compiles?	Comparison	Note
slides-forests-bagging	✅	✅
slides-forests-benchmark	✅	✅
slides-forests-discussion	✅	✅
slides-forests-featureimportance	✅	✅
slides-forests-intro	✅	✅
slides-forests-nutshell	✅	✅
slides-forests-proximities	✅	✅

knn

Slide	Compiles?	Comparison	Note
slides-knn	✅	❓	Dissimilar pages: 5, 6

ml-basics

Slide	Compiles?	Comparison	Note
slides-basics-data	✅	✅
slides-basics-learner	✅	✅
slides-basics-learnercomponents-hro	✅	❓	Dissimilar pages: 5
slides-basics-models-parameters	✅	✅
slides-basics-nutshell	✅	✅
slides-basics-optimization	✅	❓	Dissimilar pages: 3
slides-basics-riskminimization	✅	❓	Dissimilar pages: 10
slides-basics-task	✅	✅
slides-basics-whatisml	✅	✅

ml-philosophy

Slide	Compiles?	Comparison	Note
slides-mlphilo-2cultures	✅		No reference PDF
slides-mlphilo-blackboxes	✅	✅
slides-mlphilo-computerscience	✅		No reference PDF
slides-mlphilo-ontology	✅		No reference PDF

nested-resampling

Slide	Compiles?	Comparison	Note
slides-nested-nestedintro	✅	❓	Dissimilar pages: 5, 6
slides-nested-nestedresampling	✅	✅
slides-nested-trainvalidtest	✅	✅

neural-networks

Slide	Compiles?	Comparison	Note
slides-nn-nutshell	✅	✅

supervised-classification

Slide	Compiles?	Comparison	Note
slides-classification-basicdefs	✅	❓	Dissimilar pages: 4, 5, 11
slides-classification-discranalysis	✅	❓	Dissimilar pages: 4, 6, 7, 10
slides-classification-linear	✅	✅
slides-classification-logistic	✅	❓	Dissimilar pages: 2, 4, 8
slides-classification-naivebayes	✅	✅
slides-classification-nutshell	✅	✅
slides-classification-tasks	✅	❓	Dissimilar pages: 6

supervised-regression

Slide	Compiles?	Comparison	Note
slides-regression-deepdive-ols	✅	❓	Dissimilar pages: 2
slides-regression-linearmodel-l1	✅	✅
slides-regression-linearmodel-l2	✅	❓	Dissimilar pages: 11, 13
slides-regression-nutshell	✅	✅
slides-regression-polynomials	✅	✅

tuning

Slide	Compiles?	Comparison	Note
slides-tuning-advanced	✅	❌	Differing page count: 14 vs 15
slides-tuning-basicalgos	✅	❓	Dissimilar pages: 3, 5, 6
slides-tuning-intro	✅	✅
slides-tuning-nutshell	✅	❓	Dissimilar pages: 5
slides-tuning-pipelines	✅	✅
slides-tuning-practical	✅	✅
slides-tuning-tuningproblem	✅	❓	Dissimilar pages: 3, 4