some relevant references

references.bib

+---
+---
+
+@book{esl,
+  author={Friedman, J. and Hastie, T. and Tibshirani, R.},
+  year={2001},
+  title={The Elements Of Statistical Learning},
+  volume=1,
+  number=10,
+  publisher={Springer},
+  series={series in statistics}
+}
+
+@misc{dds,
+  title={Doing Data Science: Straight Talk from the Frontline},
+  author={Schutt, Rachel and O'Neil, Cathy},
+  year={2013},
+  publisher={O'Reilly Media, Inc.}
+}
+
+@article{haller,
+  author={Heiko Haller and Stefan Krauss},
+  title={Misinterpretations of Significance: A problem students share with their teachers?},
+  journal={Methods of Psychological Research Online},
+  volume={7},
+  number={1},
+  pages={1--20},
+  year={2002},
+  publisher={Pabst Science Publ.}
+}
+
+@Book{georgii2015stochastik,
+  key       = {georgii2015stochastik},
+  title     = {Stochastik},
+  publisher = {de Gruyter},
+  year      = {2015},
+  author    = {Georgii, Hans-Otto},
+  month     = may,
+  doi       = {10.1515/9783110206777},
+  timestamp = {2021.10.26},
+}
+
+@Book{pythondsh,
+  title     = {Python Data Science Handbook},
+  publisher = {O'Reilly Media, Inc.},
+  year      = {2016},
+  author    = {Jake VanderPlas},
+  month     = nov,
+  isbn      = {9781491912058},
+  url       = {https://jakevdp.github.io/PythonDataScienceHandbook/},
+}
+
+@Book{joelgrusdsfs,
+  title     = {Data Science from Scratch: First Principles with Python},
+  publisher = {O'Reilly UK Ltd.},
+  year      = {2019},
+  author    = {Joel Grus},
+  month     = may,
+  isbn      = {1492041130},
+  url       = {https://github.com/joelgrus/data-science-from-scratch},
+}
+
+@Book{mmds,
+  title     = {Mining of Massive Datasets},
+  publisher = {Cambridge University Press},
+  year      = {2020},
+  edition   = {3rd},
+  month     = jan,
+  isbn      = {9781108476348},
+  url       = {http://www.mmds.org},
+}
+
+@book{Deisenroth2020,
+  author = {Deisenroth, Marc Peter and Faisal, A. Aldo and Ong, Cheng Soon},
+  publisher = {Cambridge University Press},
+  title = {Mathematics for Machine Learning},
+  year = 2020
+}