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123,062 results
3blue1brown
bayesian network
bayes theorem
bayesian machine learning
conditional probability
hidden markov model
bayesian curl
dempster shafer example
hopfield network
naive bayes
bayes artificial intelligence
reinforcement learning
Neural networks are the backbone of deep learning. In recent years, the Bayesian neural networks are gathering a lot of attention.
50,456 views
4 years ago
My first classes at OIST are coming up! OoO patreon.com/thinkstr.
17,840 views
Zoubin Ghahramani (University of Cambridge) --- Bayesian Deep Learning Workshop NIPS 2016 December 10, 2016 — Centre ...
40,221 views
8 years ago
5,698 views
5 years ago
Get a 20% discount to my favorite book summary service at https://shortform.com/artem Socials: X/Twitter: ...
62,391 views
9 months ago
Bayesian logic is already helping to improve Machine Learning results using statistical models. Professor Mike Osborne drew us ...
48,194 views
1 year ago
Authors: Pouria Ramazi This project is made possible with funding by the Government of Ontario and through eCampusOntario's ...
34,365 views
2 years ago
Dive into Artificial Intelligence (AI) and Machine Learning (ML) with our latest video! Have you ever wondered how AI allows ...
2,909,932 views
Our Course's https://www.quantprogram.com/store Chapters 00:00 Intro 00:30 What is Neural Network? 01:27 Feed Forward ...
257,733 views
About this Course This Course is intended for all learners seeking to develop proficiency in statistics, Bayesian statistics, Bayesian ...
25,867 views
3 years ago
This lecture video on Bayesian neural networks taking into account MCMC methods and probability distributions. A paper has ...
1,149 views
I use pictures to illustrate the mechanics of "Bayes' rule," a mathematical theorem about how to update your beliefs as you ...
2,034,696 views
10 years ago
AISTATS 2020 paper Tim Pearce, Felix Leibfried, Alexandra Brintrup, Mohamed Zaki, Andy Neely ...
2,754 views
Stochastic mcmc is a very often coming approach to inference with large bayesian neural networks i think it's very exciting ...
2,394 views
Streamed 5 years ago
Daniela Rus currently serves as the Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Rus is ...
186,253 views
Talk by Laurent Jospin (from UWA) to Monash about our paper entitled, "Hands-on Bayesian Neural Networks - a Tutorial for ...
4,993 views
The crazy link between Bayes Theorem, Linear Regression, LASSO, and Ridge! LASSO Video ...
110,068 views
Presented at the Argonne Training Program on Extreme-Scale Computing 2019. Slides for this presentation are available here: ...
14,458 views
6 years ago
PyData Warsaw 2018 We will show how to assess the uncertainty of deep neural networks. We will cover Bayesian Deep ...
18,477 views
Radford Neal, University of Toronto May 16, 2022 Machine Learning Advances and Applications Seminar ...
4,765 views
For cool updates on AI research, follow me at https://twitter.com/iamvriad. Lecture from the course Neural Networks for Machine ...
34,340 views
9 years ago
PyData New York City 2017 Slides: https://ericmjl.github.io/bayesian-deep-learning-demystified/ In this talk, I aim to do two things: ...
72,340 views
First lecture on Bayesian Deep Learning and Uncertainty Quantification by Eric Nalisnick.
9,682 views
Bayesian Deep Learning and a Probabilistic Perspective of Model Construction ICML 2020 Tutorial Bayesian inference is ...
45,535 views
Link to this course: ...
4,899 views
This talk was recorded live on 24 May 2023 as part of the course «Introduction to Bayesian Statistics with R». This 3-day course ...
3,627 views
It is often critical to know whether we can trust a prediction made by a learned model, especially for medical applications.
431 views
This talk is part of MCQMC 2020, the 14th International Conference in Monte Carlo & Quasi-Monte Carlo Methods in Scientific ...
151 views
Perhaps the most important formula in probability. Help fund future projects: https://www.patreon.com/3blue1brown An equally ...
5,502,532 views