references.bib

@book{pml1Book,
 author = "Kevin P. Murphy",
 title = "Probabilistic Machine Learning: An introduction",
 publisher = "MIT Press",
 year = 2022,
 url = "probml.ai"
}

@article{gpml,
author = {Rasmussen, C. and Williams, C.},
year = {2006},
month = {01},
pages = {},
title = {Gaussian Process for Machine Learning}
}

@book{lock5stat,
author = {Lock, Robin and Lock, Patti and Morgan, Kari and Lock, Eric and Lock, Dennis},
year = {2023},
month = {01},
pages = {},
title = {Statistics. Unlocking the power of data,3rd}
}

@book{bishop2006pattern,
author = {Bishop, Christopher},
title = {Pattern Recognition and Machine Learning},
year = {2006},
month = {January},
abstract = {This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. No previous knowledge of pattern recognition or machine learning concepts is assumed. This is the first machine learning textbook to include a comprehensive coverage of recent developments such as probabilistic graphical models and deterministic inference methods, and to emphasize a modern Bayesian perspective. It is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. This hard cover book has 738 pages in full colour, and there are 431 graded exercises.

Solutions for these exercises and extensive support for course instructors are provided on Christopher Bishop's page.

Now available to download in full as a PDF.},
publisher = {Springer},
url = {https://www.microsoft.com/en-us/research/publication/pattern-recognition-machine-learning/},
}


 @book{ross98,
  added-at = {2015-09-11T13:23:43.000+0200},
  address = {Upper Saddle River, N.J.},
  author = {Ross, Sheldon M.},
  biburl = {https://www.bibsonomy.org/bibtex/29325f1b3acbc545c7ef14d7fe58c8e28/ytyoun},
  edition = {Fifth},
  interhash = {38276e30c93b62798d658c41f33e037c},
  intrahash = {9325f1b3acbc545c7ef14d7fe58c8e28},
  isbn = {0137463146 9780137463145 013895772X 9780138957728},
  keywords = {probability ross textbook},
  publisher = {Prentice Hall},
  refid = {36900824},
  timestamp = {2016-06-12T12:45:30.000+0200},
  title = {A First Course in Probability},
  year = 1998
}


@misc{blaom2020mlj,
    title={MLJ: A Julia package for composable machine learning},
    author={Anthony D. Blaom and Franz Kiraly and Thibaut Lienart and Yiannis Simillides and Diego Arenas and Sebastian J. Vollmer},
    year={2020},
    eprint={2007.12285},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}