Predictive Uncertainty Quantification in Machine Learning | Patrick Altmeyer | JuliaCon 2023 Published 2023-09-11 Download video MP4 360p Recommendations 37:25 Max Mergenthaler and Fede Garza - Quantifying Uncertainty in Time Series Forecasting 36:02 Chris Rackauckas - NonlinearSolve.jl : Efficient rootfinding and algebraic equations in Julia 14:58 Support Vector Machines: All you need to know! 06:02 The Best Package to Plot in Julia 15:41 SHAP with Python (Code and Explanations) 49:54 13. Classification 37:28 Jeff Bezanson - What's the deal with Julia binary sizes? 30:06 Tim Besard - GPU Programming in Julia: What, Why and How? 43:32 Vincent Warmerdam: Winning with Simple, even Linear, Models | PyData London 2018 35:55 Predict The Stock Market With Machine Learning And Python 48:52 MIT 6.S191: Evidential Deep Learning and Uncertainty 35:46 Linear Regression Analysis | Linear Regression in Python | Machine Learning Algorithms | Simplilearn 16:25 Michael Tiemann - Julia solves the 2 language problem, however it creates the 1.5 language problem 46:18 10 ML algorithms in 45 minutes | machine learning algorithms for data science | machine learning 59:52 MIT 6.S191 (2023): Deep Generative Modeling 29:51 P. Mason-Bumper a quick guide to Bump allocators for ultra-high performance intermediate allocations 59:53 Efficient Fine-Tuning for Llama-v2-7b on a Single GPU Similar videos 08:08 Time GPT Live Demo 26:13 [08x12] Intro to SciML 03:17 ICML AI - Sequential Conformal Inference for Time Series (10/15) 00:52 Stephan Sahm: Julia, Python, R & Scala – A Comparison From Experience 02:14 Java with Jason: Predictive Analytics 08:00 How to select data of good quality using Pedigree matrix 47:31 Dr. Valeriy Manokhin: "Modern Forecasting for Manufacturers" 1:23:19 Week 11 – Practicum: Prediction and Policy learning Under Uncertainty (PPUU) More results