# Wiki

Clone wiki# Lea / Home

# Lea 3

- Installation instructions
- Lea 3 Tutorial [1/3] - basics: building/displaying pmf, arithmetic, random sampling, conditional probabilities, …
- Lea 3 Tutorial [2/3] - standard distributions, joint distributions, Bayesian networks, Markov chains, changing probability representation, …
- Lea 3 Tutorial [3/3] - plotting, drawing without replacement information theory, MC estimation, symbolic computation, …
- Lea 3 Tutorial on Machine Learning - maximum likelihood, EM algorithm, …
- Lea 3 Examples - a gallery of serious and less serious case studies
- Lea 3 API - HTML file to download (no online rendering!)

## Online Lea Jupyter Notebooks

- Lea playground Jupyter Notebook - full-fledged environment for your experiments with Lea
- Lea Tutorial #1 Jupyter Notebook - interactive tutorial 1 (see above)
- Lea Tutorial #2 Jupyter Notebook - interactive tutorial 2 (see above)
- The COVID-19 Case Jupyter Notebook - a Bayesian net linking diseases to symptoms

# Lea 2

- Lea 2 Basic Tutorial
- Lea 2 Advanced Tutorial [1/3]
- Lea 2 Advanced Tutorial [2/3]
- Lea 2 Advanced Tutorial [3/3]
- Lea 2 Examples

## Leapp (Lea 2 PPL)

- Leapp Basic Tutorial
- Leapp Advanced Tutorial [1/2]
- Leapp Advanced Tutorial [2/2]
- Examples - Leapp flavor
- PPL's Hello world!
- Leapp snippets

# References

- Lea 3 API - HTML file to download (no online rendering!)
- "Probabilistic inference using generators - the Statues algorithm" paper
- Lea's world
- Credits

Updated