Bibliography

Bur19

Andriy Burkov. The hundred-page machine learning book. Andriy Burkov, Quebec City, Canada, 2019. ISBN 978-1999579500.

FHK+16

Ludwig Fahrmeir, Christian Heumann, Rita Künstler, Iris Pigeot, and Gerhard Tutz. Statistik - Der Weg zur Datenanalyse. Springer-Verlag, Berlin Heidelberg New York, 8 edition, 2016. ISBN 978-3-662-50372-0.

Ger19

Aurélien Géron. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems. "O'Reilly Media, Inc.", Sebastopol, edition, 2019. ISBN 978-1-492-03261-8.

Kon13

Konrad Königsberger. Analysis 2. Springer-Verlag, Berlin Heidelberg New York, 5 edition, 2013. ISBN 978-3-662-05699-8.

NAM21

Curtis G. Northcutt, Anish Athalye, and Jonas Mueller. Pervasive label errors in test sets destabilize machine learning benchmarks. 2021. arXiv:2103.14749.

Tur36

Alan M. Turing. On computable numbers, with an application to the Entscheidungsproblem. Proceedings of the London Mathematical Society, 2(42):230–265, 1936. URL: https://www.cs.virginia.edu/~robins/Turing_Paper_1936.pdf.

Wis94

Trevor Wishart. Audible Design - A Plain and Easy Introduction to Practical Sound Composition. Orpheus the Pantomime, edition, 1994. ISBN 978-0-951-03131-5.