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Materials for tutorial on Bayesian inference and machine learning, Ed Schofield, PyCon AU

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Tutorial materials: Bayesian inference and machine learning, PyCon AU 2017, Ed Schofield

Installation

See the file conda_requirement.txt. To create a new environment, type:

$ conda create -n bayesml --file conda_requirements.yaml

If this doesn't work for you, try this:

you can't use conda, here is the initial list of packages we will use:

  • python=3.6
  • scipy
  • jupyter-notebook
  • pandas
  • pytables
  • matplotlib
  • seaborn
  • maxentropy
  • pymc3
  • scikit-learn
  • tensorflow
  • edwardlib
  • pystan

So try:

$ conda create -n bayesml python=3.6 scipy jupyter pandas pytables matplotlib seaborn pymc3 scikit-learn tensorflow
$ source activate bayesml
$ pip install maxentropy
$ pip install edward

License

Copyright (c) 2017 Python Charmers Pty Ltd, Australia.

These training materials are released for the PyCon AU 2017 tutorial under the Creative Commons CC-NC-ND license: https://creativecommons.org/licenses/by-nc-nd/3.0/au/

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Materials for tutorial on Bayesian inference and machine learning, Ed Schofield, PyCon AU

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