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@@ -34,7 +34,7 @@ the notebooks via [nbviewer](https://nbviewer.jupyter.org/) to ensure a proper r
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-[Bayesian regression with linear basis function models](https://nbviewer.jupyter.org/github/krasserm/bayesian-machine-learning/blob/dev/bayesian-linear-regression/bayesian_linear_regression.ipynb).
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Introduction to Bayesian linear regression. Implementation from scratch with plain NumPy as well as usage of scikit-learn
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for comparison (see also
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[PyMC4 implementation](https://nbviewer.jupyter.org/github/krasserm/bayesian-machine-learning/blob/maste/bayesian-linear-regressionr/bayesian_linear_regression_pymc4.ipynb) and
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[PyMC4 implementation](https://nbviewer.jupyter.org/github/krasserm/bayesian-machine-learning/blob/dev/bayesian-linear-regression/bayesian_linear_regression_pymc4.ipynb) and
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