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X-WR-CALDESC:Events for IEEE Toronto Section
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DTSTART:20200101T000000
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DTSTART;TZID=UTC:20210927T140000
DTEND;TZID=UTC:20210927T153000
DTSTAMP:20260429T031226
CREATED:20210714T235912Z
LAST-MODIFIED:20211027T103904Z
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SUMMARY:Fundamentals of Probability in Python
DESCRIPTION:In this workshop\, we first provide a brief review of probability theory making sure that attendees understand probability models and applications. Later in this workshop\, we will discuss basic probability models and their implementation in python\, how to deal with various aspects of conditional probability like total probability theorem\, conditional independence\, Bayes Rule\, etc. Then\, we will discuss the implementation of discrete random variables as well as continuous random variable like Bernoulli variables\, geometric variables\, uniform\, exponential and gaussian distribution. Afterwards\, fundamental law of large numbers related programming concepts will be covered along with sample mean and variance of famous probability distributions.  Speaker(s): Taha Sajjad\,   Virtual: https://events.vtools.ieee.org/m/277449
URL:https://www.ieeetoronto.ca/event/fundamentals-of-probability-in-python/
LOCATION:Virtual: https://events.vtools.ieee.org/m/277449
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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