Bayesian poisoning is a technique used by e-mail spammers to attempt to degrade the effectiveness of spam filters that rely on Bayesian spam filtering. Bayesian filtering relies on Bayesian probability to determine whether an incoming mail is spam or is not spam. The spammer hopes that the addition of random (or even carefully selected) words that are unlikely to appear in a spam message will cause the spam filter to believe the message to be legitimate—a statistical type II error. Spammers also hope to cause the spam filter to have a higher false positive rate by turning previously innocent words into spammy words in the Bayesian database (statistical type I errors) because a user who trains their spam filter on a poisoned message will be indicating to the filter that the words added by the spammer are a good indication of spam. (Wikipedia).
Bayesian vs frequentist statistics probability - part 1
This video provides an intuitive explanation of the difference between Bayesian and classical frequentist statistics. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Unfo
From playlist Bayesian statistics: a comprehensive course
Bayesian Linear Regression : Data Science Concepts
The crazy link between Bayes Theorem, Linear Regression, LASSO, and Ridge! LASSO Video : https://www.youtube.com/watch?v=jbwSCwoT51M Ridge Video : https://www.youtube.com/watch?v=5asL5Eq2x0A Intro to Bayesian Stats Video : https://www.youtube.com/watch?v=-1dYY43DRMA My Patreon : https:
From playlist Bayesian Statistics
A description of the syllabus that will be covered in this course on Bayesian statistics. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Unfortunately, Ox Educ is no m
From playlist Bayesian statistics: a comprehensive course
(ML 7.1) Bayesian inference - A simple example
Illustration of the main idea of Bayesian inference, in the simple case of a univariate Gaussian with a Gaussian prior on the mean (and known variances).
From playlist Machine Learning
25 - Bayesian inference in practice - Disease prevalence
This video provides an example of applied Bayesian inference, for the case of predicting the disease prevalence within a population. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWd
From playlist Bayesian statistics: a comprehensive course
40 - Poisson model: crime count example introduction
This video provides an introduction to a use of Bayesian inference with a Poisson likelihood function, which we will use for the next few videos to examine the posterior distribution, as well as the prior and posterior predictive distributions, when a gamma prior is assumed. If you are in
From playlist Bayesian statistics: a comprehensive course
Paul Andersen explains how aposematic coloration (or warning coloration) is used for protection in the natural world. He explains how bright colors can be caused by either sexual selection or a warning coloration to predators. He also explains how organisms can use this coloration to mim
From playlist Biology
Bayesian vs frequentist statistics
This video provides an intuitive explanation of the difference between Bayesian and classical frequentist statistics. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Un
From playlist Bayesian statistics: a comprehensive course
On the Use of (Linear) Surrogate Models for Bayesian Inverse Problems
42nd Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series Talk Date: Wednesday, April 13, 10:00am Eastern Speaker: Ru Nicholson, University of Auckland Abstract: In this talk we consider the use of surrogate (forward) models to efficiently solve Bayesian inverse pr
From playlist Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series
A Primer on Gaussian Processes for Regression Analysis || Chris Fonnesbeck
Gaussian processes are flexible probabilistic models that can be used to perform Bayesian regression analysis without having to provide pre-specified functional relationships between the variables. This tutorial will introduce new users to specifying, fitting and validating Gaussian proces
From playlist Machine Learning
DEFCON 15: Homeless Vikings, (short-lived bgp prefix hijacking and the spamwars)
Speaker: Dave Josephsen Sr Systems Eng, DBG Inc BGP Prefix hijacks take the IP addresses of others and make them your own. This talk provides a chilling account of the current use of prefix hijacks by spammers in a successful effort to defeat RBL's. Placed within the context of the histor
From playlist DEFCON 15
6 - Bayes' rule in inference - likelihood
Provides an introduction to Bayesian statistics - in particular the likelihood - by running through a simple example of the application of Bayes' rule to the case of inference over a binary parameter, If you are interested in seeing more of the material, arranged into a playlist, please v
From playlist Bayesian statistics: a comprehensive course
Bayesian vs frequentist statistics probability - part 2
This video provides a short introduction to the similarities and differences between Bayesian and Frequentist views on probability. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdi
From playlist Bayesian statistics: a comprehensive course
Art of deception: copying and cheating in the natural world by Divya Uma
PROGRAM : SUMMER SCHOOL FOR WOMEN IN MATHEMATICS AND STATISTICS ORGANIZERS : Siva Athreya and Anita Naolekar DATE : 13 May 2019 to 24 May 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore The summer school is intended for women students studying in first year B.A/B.Sc./B.E./B.Tech.
From playlist Summer School for Women in Mathematics and Statistics 2019
What Is the Wave Function? - Instant Egghead #50
At the heart of quantum mechanics is a mysterious equation known as the wave function. It helps explain the behavior of elementary particles, but also challenges the notion that there's only one reality. Scientific American editor Michael Moyer explains. More to explore: Bringing Schrödi
From playlist Scientific American Channel
Logic: The Structure of Reason
As a tool for characterizing rational thought, logic cuts across many philosophical disciplines and lies at the core of mathematics and computer science. Drawing on Aristotle’s Organon, Russell’s Principia Mathematica, and other central works, this program tracks the evolution of logic, be
From playlist Logic & Philosophy of Mathematics
An introduction to the use of Bayes' rule in statistics. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Unfortunately, Ox Educ is no more. Don't fret however as a whol
From playlist Bayesian statistics: a comprehensive course
Scaling Towards Exabyte Science with the SKA - Bruce Bassett - 6/26/2019
AstroInformatics 2019 Conference: AstroInformatics for Large Projects http://astroinformatics2019.org/
From playlist AstroInformatics 2019 Conference
What the Heck is Bayesian Stats ?? : Data Science Basics
What's all the hype about Bayesian statistics? My Patreon : https://www.patreon.com/user?u=49277905
From playlist Bayesian Statistics
LMS Popular Lecture Series 2013, Mathematics in the Courtroom
Mathematics in the Courtroom by Professor Ray Hill Held at the Institute of Education in London
From playlist LMS Popular Lectures 2007 - present