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pymc_learn's profile picture. Practical Probabilistic Machine Learning in Python

pymc-learn

@pymc_learn

Practical Probabilistic Machine Learning in Python

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pymc_learn's profile picture.
pymc-learn
 @pymc_learn
2018. 11. 5.

.@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

twiecki's profile picture. Founder of @pymc_labs - The Bayesian Consultancy https://t.co/pOpveNUsa3 @pymc_devs author.
Thomas Wiecki
 @twiecki
2018. 10. 30.

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!

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pymc_learn's profile picture.
pymc-learn
 @pymc_learn
2018. 11. 5.

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's tweet card. Contribute to parsing-science/pymc3_models development by creating an account on GitHub.
GitHub - parsing-science/pymc3_models
출처: github.com
pymc_learn's profile picture. Practical Probabilistic Machine Learning in Python
pymc-learn
 @pymc_learn
2018. 11. 5.

.@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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Software Engineering
 @ComputerPapers
2018. 11. 5.

Pymc-learn: Practical Probabilistic Machine Learning in Python. arxiv.org/abs/1811.00542

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Stat.ML Papers
 @StatMLPapers
2018. 11. 5.

Pymc-learn: Practical Probabilistic Machine Learning in Python. (arXiv:1811.00542v1 [stat.ML]) ift.tt/2F2Bc8d

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stat.ML Machine Learning arXiv submissions
 @arXiv_stat_ML
2018. 11. 5.

arxiv.org/abs/1811.00542… D Emaasit Pymc-learn: Practical Probabilistic Machine Learning in Python

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pymc_learn's profile picture.
pymc-learn
 @pymc_learn
2018. 11. 5.

.@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

arXiv_stat_ML's profile picture. Abstracts of https://t.co/sKWwtNY7NH (Machine Learning) papers posted to arXiv tweeted daily as embedded images. Click to enlarge. Unaffiliated to ArXiv.
stat.ML Machine Learning arXiv submissions
 @arXiv_stat_ML
2018. 11. 5.

arxiv.org/abs/1811.00542… D Emaasit Pymc-learn: Practical Probabilistic Machine Learning in Python

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