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PRODID:-//IEEE WIE - ECPv5.9.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:IEEE WIE
X-ORIGINAL-URL:https://wie.ieee.org
X-WR-CALDESC:Events for IEEE WIE
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20210101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20210927T140000
DTEND;TZID=UTC:20210927T153000
DTSTAMP:20211021T110659
CREATED:20210828T010116Z
LAST-MODIFIED:20210927T030548Z
UID:13383-1632751200-1632756600@wie.ieee.org
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://wie.ieee.org/tec/fundamentals-of-probability-in-python/
LOCATION:Virtual: https://events.vtools.ieee.org/m/277449
CATEGORIES:WIE Affinity Group
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