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188 results

INI Seminar Room 1
Prof. Emanuel Winterfors | Bayesian optimization: A framework for optimal computational effort...

Title: Bayesian optimization: A framework for optimal computational effort for experimental design Speaker: Professor Emanuel ...

30:52
Prof. Emanuel Winterfors | Bayesian optimization: A framework for optimal computational effort...

0 views

10 days ago

Matterhorn Studio
Crash-Course: Bayesian Optimization for Physical Experiments For Beginners by Morten Nielsen #ALS25
58:13
Crash-Course: Bayesian Optimization for Physical Experiments For Beginners by Morten Nielsen #ALS25

94 views

4 weeks ago

Matterhorn Studio
How BayBE revolutionizes iterative planning at Merck KGaA (Alexander Hopp)

Check out BayBE on GitHub: https://github.com/emdgroup/baybe.

11:48
How BayBE revolutionizes iterative planning at Merck KGaA (Alexander Hopp)

113 views

4 weeks ago

Decode AI Papers
Training Setup for LLM Fine-Tuning | Hyperparameters, Optimizers & Loss Functions Explained C-5

... and tuning methods (grid search, random search, Bayesian optimization) Optimizers & Loss Functions – Gradient Descent, ...

6:42
Training Setup for LLM Fine-Tuning | Hyperparameters, Optimizers & Loss Functions Explained C-5

0 views

2 weeks ago

DataMListic
Logistic Regression - Explained

... Jacobian Matrix: https://youtu.be/6FesMicc844 Bayesian Optimization: https://youtu.be/Kq6_kzlwSUQ Hyperparameters Tuning: ...

4:16
Logistic Regression - Explained

571 views

3 days ago

Thornton Tomasetti | CORE studio
AECtech 2025 | Tunny

This hands-on workshop explores the full spectrum of optimization techniques, from Bayesian optimization (TPE, GP) to ...

2:32:29
AECtech 2025 | Tunny

320 views

2 weeks ago

Netsky AI Lab | R&D LLM AI
Prompt Engineering is DEAD. (Here's what replaced it)

... Optimizer Bayesian optimization for prompts. Paper: https://arxiv.org/abs/2406.11695 Flow Engineering (AlphaCodium) Why ...

5:10
Prompt Engineering is DEAD. (Here's what replaced it)

44 views

3 weeks ago

DataMListic
The Perceptron - Explained

... Jacobian Matrix: https://youtu.be/6FesMicc844 Bayesian Optimization: https://youtu.be/Kq6_kzlwSUQ Hyperparameters Tuning: ...

3:29
The Perceptron - Explained

565 views

7 days ago

Global Outreach & Extended Education (GOEE)
Optimizing Response Surface Models: Strategies & Pitfalls | Fireside Chat with Dr. Byron Smucker

Learn how methods like p-value selection, LASSO regression, and Bayesian optimization impact prediction accuracy and ...

59:37
Optimizing Response Surface Models: Strategies & Pitfalls | Fireside Chat with Dr. Byron Smucker

205 views

3 weeks ago

CppCon
Optimize Automatic Differentiation Performance in C++ - Steve Bronder - CppCon 2025

https://cppcon.org --- Optimize Automatic Differentiation Performance in C++ - Steve Bronder - CppCon 2025 --- Reverse‑mode ...

59:59
Optimize Automatic Differentiation Performance in C++ - Steve Bronder - CppCon 2025

3,873 views

3 weeks ago

AI Learning Hub - Byte-Size AI Learn
Model Optimization Guide: Grid Search, Random Search & Bayesian Tuning

Master hyperparameter tuning and model optimization, two of the most important steps in improving machine learning model ...

5:15
Model Optimization Guide: Grid Search, Random Search & Bayesian Tuning

23 views

2 weeks ago

International Centre for Mathematical Sciences
HGDL and gpCAM: Hybrid Local-Global and Modern Bayesian Optimization for Function Approximation

HGDL and gpCAM: Hybrid Local-Global and Modern Bayesian Optimization for Function Approximation, Uncertainty ...

56:27
HGDL and gpCAM: Hybrid Local-Global and Modern Bayesian Optimization for Function Approximation

0 views

9 days ago

Read some papers
Podcast Tiếng Việt - Bayesian Illumination

Syst., 2024, 36] to integrate Bayesian optimisation into the quality-diversity process. This novel generative model, which we call ...

14:50
Podcast Tiếng Việt - Bayesian Illumination

0 views

8 days ago

Stack Crate
Master Chef Data Science: part -2 :- 5 Pro Techniques to Turn a "Good" Model into an EXCEPTIONAL One

... Random Search, and Bayesian Optimization) for finding the "sweet spot" settings that control your model's performance [01:12].

7:49
Master Chef Data Science: part -2 :- 5 Pro Techniques to Turn a "Good" Model into an EXCEPTIONAL One

20 views

10 days ago

AI TL;DR
Variational Inference Explained | The ELBO (Ch. 19)

When we can't calculate the true posterior distribution, we approximate it. This chapter covers Variational Inference, a core ...

7:54
Variational Inference Explained | The ELBO (Ch. 19)

7 views

4 weeks ago

AiMagicFixes
Gaussian Processes Explained Simply (No Heavy Math!)
6:39
Gaussian Processes Explained Simply (No Heavy Math!)

0 views

0

Growing Science
Predictive models based on machine learning to analyze the adoption of digital payments

... and CatBoost algorithms was compared, with the optimal hyperparameter combination identified through Bayesian optimization ...

6:31
Predictive models based on machine learning to analyze the adoption of digital payments

11 views

3 weeks ago

The Friendly Statistician
What Are The Computational Demands Of Bayesian Inference?

Ever wondered about the horsepower needed to run Bayesian inference? This video breaks down the computational complexities ...

4:20
What Are The Computational Demands Of Bayesian Inference?

0 views

9 days ago

DataMListic
Derivative of a Matrix - Explained

... Jacobian Matrix: https://youtu.be/6FesMicc844 Bayesian Optimization: https://youtu.be/Kq6_kzlwSUQ Hyperparameters Tuning: ...

4:00
Derivative of a Matrix - Explained

1,421 views

11 days ago

futureLab AI
Taste by Algorithm: The Robotic Kitchen Experiment

A concise look at a robotic kitchen experiment where AI optimizes recipes using sensory data. It explains the setup, methods, and ...

0:46
Taste by Algorithm: The Robotic Kitchen Experiment

0 views

3 weeks ago