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35,212 results
gaussian process regression
bayesian statistics
hyperparameter optimization
In this video, we explore Bayesian Optimization, which constructs probabilistic models of unknown functions and strategically ...
37,440 views
8 months ago
Bayesian Optimization is one of the most popular approaches to tune hyperparameters in machine learning. Still, it can be applied ...
114,399 views
4 years ago
Learn the algorithmic behind Bayesian optimization, Surrogate Function calculations and Acquisition Function (Upper Confidence ...
66,827 views
Bayesian logic is already helping to improve Machine Learning results using statistical models. Professor Mike Osborne drew us ...
48,209 views
1 year ago
Gaussian process regression (GPR) is a probabilistic approach to making predictions. GPRs are easy to implement, flexible, and ...
105,822 views
Curious about Bayesian Optimization? It's a powerful tool for finding the global optimal value of a costly-to-evaluate black box ...
174 views
What Is Bayesian Optimization? Have you ever wondered how optimization problems are tackled in various fields?
120 views
21,842 views
3 years ago
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe ...
262,409 views
8 years ago
Speaker: Lorenzo Maggi (Nokia Bell Labs France). Webpage: ...
17,979 views
What if I told you I can show you the difference between Bayesian and Frequentist statistics with one single coin toss? SUMMARY ...
286,978 views
5 years ago
Title: Vanilla Bayesian Optimization Performs Great in High Dimensions Abstract: In Bayesian optimization (BO), complexity and ...
7,430 views
To try everything Brilliant has to offer for free for a full 30 days, visit https://brilliant.org/VeryNormal. You'll also get 20% off an ...
119,040 views
By Peter Frazier | Bayesian optimization is widely used for tuning deep neural networks and optimizing other black-box objective ...
22,969 views
7 years ago
PyData Amsterdam 2017 You are given access to an espresso machine with many buttons and knobs to tweak. Your task is to ...
16,115 views
Bayesian statistics is used in many different areas, from machine learning, to data analysis, to sports betting and more. It's even ...
123,827 views
Try my new interactive online course "Fundamentals of Bayesian Data Analysis in R" over at DataCamp: ...
303,516 views
Bayesian Optimization is one of the most common optimization algorithms. While there are some black box packages for using it ...
20,774 views
... we discuss Bayesian optimization method for Hyperparameter Tuning. Chapters: 0:00 Introduction to Hyperparameter Tuning ...
6,460 views
The machine learning consultancy: https://truetheta.io Join my email list to get educational and useful articles (and nothing else!)
173,459 views
Perhaps the most important formula in probability. Help fund future projects: https://www.patreon.com/3blue1brown An equally ...
5,503,624 views
6 years ago
We'll go over grid search, random search, and Bayesian Optimization. I'll also cover the difference between Bayesian and ...
116,246 views
Welcome back to our Materials Informatics series! In today's episode, we delve into Bayesian Optimization, a critical tool for ...
10,867 views
Bayes' theorem explained with examples and implications for life. Check out Audible: http://ve42.co/audible Support Veritasium on ...
4,401,386 views
Bayesian Approaches for Black Box Optimization.
4,857 views
9 years ago
Bayesian optimization (BO) is a popular approach to hyperparameter tuning in machine learning. Today, we're breaking down ...
96 views
1 month ago
I use pictures to illustrate the mechanics of "Bayes' rule," a mathematical theorem about how to update your beliefs as you ...
2,034,759 views
10 years ago
I am going to be talking to you about Bayesian optimization and will sort of run the gamut over Bayesian optimization I'll talk about ...
70,527 views
To try everything Brilliant has to offer—free—for a 7 day trial, visit https://brilliant.org/VeryNormal. You'll also get 20% off an annual ...
377,682 views
