Applications of Bayesian inference
Bayesian inference in marketing
In marketing, Bayesian inference allows for decision making and market research evaluation under uncertainty and with limited data. (Wikipedia).
Applications of Bayesian inference
In marketing, Bayesian inference allows for decision making and market research evaluation under uncertainty and with limited data. (Wikipedia).
(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
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
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
10 - Bayes' rule in inference - example: graphical intuition
This provides a complete example of how Bayes' rule can be used to conduct inference over a discrete parameter. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Unfortun
From playlist Bayesian statistics: a comprehensive course
7 Bayes' rule in inference the prior and denominator
This provides a short introduction into the use of Bayes' rule in inference, by going through an example where the prior and denominator in the formula are explained. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/play
From playlist Bayesian statistics: a comprehensive course
39 - The gamma distribution - an introduction
This video provides an introduction to the gamma distribution: describing it mathematically, discussing example situations which can be modelled using a gamma in Bayesian inference, then going on to discuss how its two parameters affect the shape of the distribution intuitively, and finall
From playlist Bayesian statistics: a comprehensive course
8 - Bayes' rule in inference - example: the posterior distribution
This provides a complete example of how Bayes' rule can be used to conduct inference over a discrete parameter. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Unfortun
From playlist Bayesian statistics: a comprehensive course
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 Inference in the Wolfram Language
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Sjoerd Smit Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, and m
From playlist Wolfram Technology Conference 2017
Bayes in Science and Everyday Life: Crash Course Statistics #25
Today we're going to finish up our discussion of Bayesian inference by showing you how we can it be used for continuous data sets and be applied both in science and everyday life. From A/B testing of websites and getting a better understanding of psychological disorders to helping with lan
From playlist Statistics
16 Sequential Bayes: Data order invariance
A proof of the fact that for independent sequences of data, the order which they are received does not affect the posterior distribution; and hence does not affect inference. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.
From playlist Bayesian statistics: a comprehensive course
Abstraction - Seminar 1 - Natural Abstraction 1
This seminar series is on the relations among Natural Abstraction, Renormalisation and Resolution. This week Alexander Oldenziel gives the first lecture on the Natural Abstraction track, introducing the topic of agents and how to begin formalising that in terms of Bayesian networks and Mar
From playlist Abstraction
SDS 585: PyMC for Bayesian Statistics in Python — with Thomas Wiecki
#PyMC #BayesianStatistics #Python In this episode, Dr. Thomas Wiecki, Core Developer of the PyMC Library and CEO of PyMC Labs, joins Jon for a masterclass in Bayesian statistics. Tune in to hear PyMC, and discover why Bayesian statistics can be more powerful and interpretable than any oth
From playlist Super Data Science Podcast
Stanford CS330 Deep Multi-Task & Meta Learning - Bayesian Meta-Learning l 2022 I Lecture 12
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course, visit: https://cs330.stanford.edu/ To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu Chelsea Finn Computer
From playlist Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022
Statistical Rethinking - Lecture 01
The Golem of Prague / Small World and Large Worlds: Chapters 1 and 2 of 'Statistical Rethinking: A Bayesian Course with R Examples'.
From playlist Statistical Rethinking Winter 2015
ML Tutorial: Bayesian Machine Learning (Zoubin Ghahramani)
Machine Learning Tutorial at Imperial College London: Bayesian Machine Learning Zoubin Ghahramani (University of Cambridge) January 29, 2014
From playlist Machine Learning Tutorials
18. Bayesian Statistics (cont.)
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about Bayesian confidence regions and Bayesian estimation. License: Creative Commons BY-NC-SA More information at
From playlist MIT 18.650 Statistics for Applications, Fall 2016
Ruslan Salakhutdinov: "Learning Hierarchical Generative Models, Pt. 1"
Graduate Summer School 2012: Deep Learning, Feature Learning "Learning Hierarchical Generative Models, Pt. 1" Ruslan Salakhutdinov, University of Toronto Institute for Pure and Applied Mathematics, UCLA July 23, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-school
From playlist GSS2012: Deep Learning, Feature Learning
Statistical Rethinking Winter 2019 Lecture 02
Lecture 02 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. This lectures covers the material in Chapters 2 and 3 of the book.
From playlist Statistical Rethinking Winter 2019
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