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A tutorial on Bayesian machine learning: what, why and how - lecture 2

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Authors : Bardenet, Rémi (Author of the conference)
CIRM (Publisher )

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Abstract : 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.

Keywords : Bayesian statistics; machine learning; tutorial

MSC Codes :
62C10 - Bayesian problems; characterization of Bayes procedures
62F15 - Bayesian inference
65C05 - Monte Carlo methods

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 15/11/2021
    Conference Date : 26/10/2021
    Subseries : Research School
    arXiv category : Machine Learning
    Mathematical Area(s) : Computer Science
    Format : MP4 (.mp4) - HD
    Video Time : 01:35:18
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2021-10-26_Bardenet_2.mp4

Information on the Event

Event Title : End-to-end Bayesian Learning Methods / Solutions de bout-en-bout en apprentissage Bayésien
Event Organizers : Cleynen, Alice ; Gloaguen, Pierre ; Le Corff, Sylvain ; Mira, Antonietta ; Stoehr, Julien
Dates : 25/10/2021 - 29/10/2021
Event Year : 2021
Event URL : https://conferences.cirm-math.fr/2417.html

Citation Data

DOI : 10.24350/CIRM.V.19825103
Cite this video as: Bardenet, Rémi (2021). A tutorial on Bayesian machine learning: what, why and how - lecture 2. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19825103
URI : http://dx.doi.org/10.24350/CIRM.V.19825103

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