Turing Tutorials

Contact

Prof. Dr. Claus Möbus

Room: A02 2-226

orcid.org/0000-0003-1640-4168

claus.moebus@uol.de 

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Secretary

Manuela Wüstefeld

Room: A02 2-228

Tel: +49 441 / 798-4520

manuela.wuestefeld@uol.de 

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Turing Tutorials

Turing Tutorials

  1. Introduction: The following chapters contain personal interpretations, reconstructions and serializations of the official corresponding Turing.jl-tutorials into steps of increasing complexity. This seems to be helpful for learners (at least for me) because the original scripts are highly optimized and constrained
  2. Bayesian Linear Regression
  3. Bayesian Logistic Regression
  4. Bayesian Multinomial Regression
  5. Bayesian Poisson Regression
  6. (Unsupervised Learning Using) Bayesian Gaussian Mixture Model
  7. Infinite Mixture Model
  8. Variational Inference
  9. Bayesian Neural Networks
  10. Bayesian Differential Equations
  11. Hidden Markov Models

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    This is a draft under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Comments, improvement and issue reports are welcome: claus.moebus(@)uol.de

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(Changed: 02 Nov 2024)  | 
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