DSI | MuyGPs: Scalable Gaussian Process Hyperparameter Estimation Using Local Cross-Validation Published 2021-11-17 Download video MP4 360p Recommendations 1:22:24 Statistical Rethinking 2023 - 16 - Gaussian Processes 23:52 Sergey Feldman: You Should Probably Be Doing Nested Cross-Validation | PyData Miami 2019 1:53:32 ML Tutorial: Gaussian Processes (Richard Turner) 51:30 The R-INLA project: Overview and recent developments 31:16 Model selection: Cross validation 35:54 Selecting the best model in scikit-learn using cross-validation 38:06 Gaussian Mixture Models - The Math of Intelligence (Week 7) 1:02:19 DDPS | “A DDPS Engineering Approach for Supply Chain Management and Enterprise-Wide Optimization” 05:48 How to Learn Faster with the Feynman Technique (Example Included) 1:11:33 FEM@LLNL | A Data Driven Finite Element Exterior Calculus 42:17 CGSR | Weapons in Space 10:12 Cross Validation : Data Science Concepts 53:51 Mathematics is the queen of Sciences 11:37 What is RAG? (Retrieval Augmented Generation) 50:05 6. Monte Carlo Simulation 10:33 What REALLY is Data Science? Told by a Data Scientist 3:02:04 Science Before Statistics: Causal Inference Similar videos 1:27:10 TAMIDS Data Science Webinar: Scalable Gaussian Process Approximation and Optimization 00:09 2D Gaussian Process 10:04 Prediction of Reward Functions for Deep Reinforcement Learning via Gaussian Process Regression 41:01 A. Teckentrup - Convergence and Robustness of Gaussian Process Regression 05:53 How to Win the NeurIPS BBO ML Competition| Bayesian Optimisation| Fitting ML|Tune AI|Learn Params 00:20 Gaussian process regression for predicting the motion of an adaptive hand 07:10 11.11 Gaussian Process 1:31:13 TAMIDS Data Science Webinar: Solving Nonlinear PDEs with Gaussian Processes and Deep Neural Network 1:53:38 Lecture 6 Gaussian Processes for inverse problems 20220125 160527 Meeting Recording 09:01 Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement 54:25 Replacing a computationally expensive simulation with a Gaussian process surrogate model" in quoFEM More results