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@ericmjl

Eric Ma

ericmjl
Cambridge, MA

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.

Current sponsors 1

@willingc

Past sponsors 2

@MridulS
Private Sponsor

Featured work

  1. ericmjl/Network-Analysis-Made-Simple

    An introduction to network analysis and applied graph theory using Python and NetworkX

    Jupyter Notebook 1,010
  2. ericmjl/bayesian-stats-modelling-tutorial

    How to do Bayesian statistical modelling using numpy and PyMC3

    Jupyter Notebook 651
  3. ericmjl/dl-workshop

    Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!

    Jupyter Notebook 221
  4. ericmjl/bayesian-analysis-recipes

    A collection of Bayesian data analysis recipes using PyMC3

    Jupyter Notebook 552
  5. ericmjl/bayesian-deep-learning-demystified

    In which I try to demystify the fundamental concepts behind Bayesian deep learning.

    CSS 122

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Coffee money for the publicly and freely-available work I do on GitHub, my website (https://ericmjl.github.io), and more.