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Lecture notes

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Autor: Ricardo Aler Mur
En esta sección encontraremos ficheros de transparencias, de audio, de video y con orientaciones que el profesor da en clase.

1. LN-F-001. Introduction ( PDF ).
Description. Introduction.

2. R and C++ integration:

  • LN-F-002.d. Brief description of contents ( PDF ).
    Description. Integration of R and C++.
  • LN-F-002. RCPP ( PDF ).
    Description. Integration of R and C++.
  • LN-F-003. RCPP solutions to exercises ( PDF ).
    Description. Solutions to exercises in the slides.


3. Python for data analysis:

  • LN-F-004.d. Brief description of contents  ( PDF ).
  • LN-F-004. Python base ( PDF ).
    Description. Python base.
  • LN-F-005. Python libraries: numpy and pandas ( PDF ).
    Description. Libraries for managing numeric arrays (numpy) and dataframes (pandas).
  • LN-F-006. Python machine learning: scikit-learn ( PDF ).
    Description. Scikit-learn machine learning library.
  • LN-F-007. Python visualization ( PDF ).
    Description. Matplotlib and Seaborn for data visualization.


4. Stan:

  • LN-F-008.d. Brief description of contents ( PDF ).
  • LN-F-008. Stan ( PDF ).
    Description. Brief introduction to Stan.
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