Trustworthy AI in Network Operations
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore the application of trustworthy AI in network operations through this insightful conference talk presented by Ericsson researchers. Delve into key topics including symbolic reinforcement learning, formal verification of machine learning models, and the explainability of AI-based models. Gain valuable insights into the challenges faced in implementing trustworthy AI solutions for network management. Learn how Ericsson Research is advancing the field and addressing critical issues in AI reliability and transparency within telecommunications networks.
Syllabus
Introduction
Ericsson Research
Symbolic reinforcement learning
Formal verification of ML models
Explainability of AIbased models
Challenges
Taught by
Linux Foundation
Tags
Related Courses
Clasificación de datos de Satélites con autoML y PycaretCoursera Project Network via Coursera Deep Learning Prerequisites: Linear Regression in Python
Udemy Handling Missing Data with Imputations in R
DataCamp AWS Foundations: Machine Learning Basics
Pluralsight Identifying Security Requirements of an AI Solution
Pluralsight