A tutorial on Bayesian machine learning: what, why and how - lecture 1 | Vidéo | Carmin.tv

00:00:00 / 00:00:00

A tutorial on Bayesian machine learning: what, why and how - lecture 1

By Rémi Bardenet

Appears in collection : End-to-end Bayesian Learning Methods / Solutions de bout-en-bout en apprentissage Bayésien

This is a tutorial on Bayesian statistics and machine learning. We will cover what Bayesian learning is, why different subschools of Bayesians arose, and the major classes of algorithms that implement Bayesian learning.

Information about the video

Date of recording 25/10/2021
Date of publication 15/11/2021
Institution CIRM
Licence CC BY NC ND
Language English
Audience Researchers
Director(s) Guillaume Hennenfent
Format MP4

Citation data

DOI 10.24350/CIRM.V.19824903
Cite this video Bardenet, Rémi (25/10/2021). A tutorial on Bayesian machine learning: what, why and how - lecture 1. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19824903
URL https://dx.doi.org/10.24350/CIRM.V.19824903

Domain(s)

MSC codes

Last related questions on MathOverflow

You have to connect your Carmin.tv account with mathoverflow to add question

Ask a question on MathOverflow

Copyright Carmin.tv 2026

Give feedback