Model Evaluation
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore cutting-edge research and insights on model evaluation in this 1-hour 7-minute paper session presented at an Association for Computing Machinery (ACM) conference. Delve into the latest methodologies, techniques, and best practices for assessing the performance and reliability of machine learning and statistical models. Gain valuable knowledge from expert researchers as they discuss their findings, challenges, and proposed solutions in the field of model evaluation. Enhance your understanding of critical aspects such as metrics selection, validation strategies, and robustness testing to improve the accuracy and effectiveness of your own models.
Syllabus
Paper session 24: Model evaluation
Taught by
ACM FAccT Conference
Related Courses
Macroeconometric ForecastingInternational Monetary Fund via edX Machine Learning With Big Data
University of California, San Diego via Coursera Data Science at Scale - Capstone Project
University of Washington via Coursera Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)
The Chinese University of Hong Kong via Coursera Data Science in Action - Building a Predictive Churn Model
SAP Learning