Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Covariate Shift - Challenges and Good Practice in Machine Learning

GOTO Conferences via YouTube

Overview

Explore the challenges and best practices of covariate shift in this 21-minute conference talk from YOW! 2017. Dive into the world of machine learning as Joyce Wang from Data61, CSIRO, discusses this crucial concept in statistical modeling. Learn how covariate shift affects model performance and discover strategies to mitigate its impact. Gain insights into maintaining robust machine learning models when faced with changing data distributions. Enhance your understanding of this important topic in software engineering and data science, and apply the knowledge to improve your own machine learning projects.

Syllabus

Covariate Shift - Challenges & Good Practice • Joyce Wang • YOW! 2017

Taught by

GOTO Conferences

Reviews

Start your review of Covariate Shift - Challenges and Good Practice in Machine Learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.