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references.bib

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    references.bib 3.53 KiB
    ---
    ---
    
    @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},
      edition   = {2nd},
      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
    }
    
    @book{molnarmindsets,
      title={Modeling Mindsets: The Many Cultures Of Learning From Data},
      author={Molnar, Christoph},
      publisher={Independently published},
      year=2022,
      month=11,
      day=15,
      date={2022-11-15},
      pages=113,
      keywords={Artificial Intelligence & Semantics, Probability & Statistics},
      asin={B0BMJH7M9F},
      isbn={979-8358729339},
    }
    
    @inbook{sr15,
    shorthand = "sr15",
    key = "sr15",
    title = "IPCC SR15: Summary for Policymakers",
    abstract = "This Report responds to the invitation for IPCC {\textquoteleft}… to provide a Special Report in 2018 on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways{\textquoteright} contained in the Decision of the 21st Conference of Parties of the United Nations Framework Convention on Climate Change to adopt the Paris Agreement. In: Global Warming of 1.5°C.",
    author = "Myles Allen and Mustafa Babiker and Yang Chen and {de Coninck}, {Heleen C.}",
    note = "",
    year = "2018",
    month = oct,
    language = "English",
    booktitle = "IPCC Special Report Global Warming of 1.5 ºC",
    publisher = "Intergovernmental Panel on Climate Change"
    }
    
    @article{Schubert2023,
       title={Stop using the elbow criterion for k-means and how to choose the number of clusters instead},
       volume={25},
       ISSN={1931-0153},
       url={http://dx.doi.org/10.1145/3606274.3606278},
       DOI={10.1145/3606274.3606278},
       number={1},
       journal={ACM SIGKDD Explorations Newsletter},
       publisher={Association for Computing Machinery (ACM)},
       author={Schubert, Erich},
       year={2023},
       month=jun, pages={36–42}
    }