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I am creating open source teaching material for data scientists, covering tutorials on Bayesian statistics, deep learning, network science, and software skills. Come check out my profile on GitHub and my personal website.
Featured work
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ericmjl/Network-Analysis-Made-Simple
An introduction to network analysis and applied graph theory using Python and NetworkX
Jupyter Notebook 1,039 -
ericmjl/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
Jupyter Notebook 657 -
ericmjl/dl-workshop
Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!
Jupyter Notebook 224 -
ericmjl/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
Jupyter Notebook 554 -
ericmjl/bayesian-deep-learning-demystified
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
CSS 122