Turing Tutorials
Contact
Prof. Dr. Claus Möbus
Secretary
Manuela Wüstefeld
Turing Tutorials
Turing Tutorials
- 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
- Bayesian Linear Regression
- Bayesian Logistic Regression
- Bayesian Multinomial Regression
- Bayesian Poisson Regression
- (Unsupervised Learning Using) Bayesian Gaussian Mixture Model
- Infinite Mixture Model
- Variational Inference
- Bayesian Neural Networks
- Bayesian Differential Equations
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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