pymc-learn
@pymc_learn
Practical Probabilistic Machine Learning in Python
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.@pymc_learn has been following closely the development of #PyMC4 with the aim of switching its backend from #PyMC3 to PyMC4 as the latter grows to maturity. Core devs are invited. Here's the tentative roadmap for PyMC4: github.com/pymc-devs/pymc… cc @pymc_devs
Excited to speak in #London at the @bayesianmixer about "#MachineLearning and #statistics: Don't Mind the Gap." on Dec 13. The whole @pymc_devs crew will be in town to work on #PyMC4!
Acknowledgments: The @pymc_learn project adopted & extended the Base template in #PyMC3Models by @parsing_science (github.com/parsing-scienc…) to develop probabilistic versions of the estimators in @scikit_learn. Thanks also to the #PyMC3 & @scikit_learn open-source communities.
.@pymc_learn is focused on bringing probabilistic machine learning to non specialists. Read this draft paper for more details: arxiv.org/abs/1811.00542 #ProbabilisticModeling #MachineLearning @pymc_devs @scikit_learn
Pymc-learn: Practical Probabilistic Machine Learning in Python. arxiv.org/abs/1811.00542
Pymc-learn: Practical Probabilistic Machine Learning in Python. (arXiv:1811.00542v1 [stat.ML]) ift.tt/2F2Bc8d
arxiv.org/abs/1811.00542… D Emaasit Pymc-learn: Practical Probabilistic Machine Learning in Python
.@pymc_learn is focused on bringing probabilistic machine learning to non specialists. Read this draft paper for more details: arxiv.org/abs/1811.00542 #ProbabilisticModeling #MachineLearning @pymc_devs @scikit_learn
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