YoVDO

Uncertainty Quantification in Machine Learning: Federated Conformal Prediction

Offered By: Institut des Hautes Etudes Scientifiques (IHES) via YouTube

Tags

Machine Learning Courses Artificial Intelligence Courses Data Science Courses Federated Learning Courses Statistical Analysis Courses Predictive Modeling Courses Uncertainty Quantification Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore uncertainty quantification in machine learning through this 56-minute lecture on Federated Conformal Prediction, delivered by Vincent Plassier at the Institut des Hautes Etudes Scientifiques (IHES). Gain insights into advanced techniques for assessing and managing uncertainty in federated learning environments, enhancing the reliability and interpretability of machine learning models.

Syllabus

Vincent Plassier - Uncertainty Quantification in Machine Learning...


Taught by

Institut des Hautes Etudes Scientifiques (IHES)

Related Courses

Secure and Private AI
Facebook via Udacity Advanced Deployment Scenarios with TensorFlow
DeepLearning.AI via Coursera Big Data for Reliability and Security
Purdue University via edX MLOps for Scaling TinyML
Harvard University via edX Edge Analytics: IoT and Data Science
LinkedIn Learning