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