Presented by:
Eric J. Ma

In this talk, we will do more than just a random walk through probability. In particular, by using Python code as an anchor, we will explore what a probability distribution as an “object” is, especially in a modelling context. By the end of this talk, probability distributions, sampling (or generating data) from a probability distribution, and the basic terms of joint, conditional and marginal distributions, should be demystified for you, and you should leave with a solid working knowledge of probability to go further and deeper with Bayesian statistics beyond PyCon!

App location: http://pythonprob.ericmjl.com/
SciPy Stats Module: https://docs.scipy.org/doc/scipy/refe...

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