Learn about the critical importance of testing machine learning systems in production environments through this 32-minute conference talk from Data Science Conference Europe 2022. Discover fundamental concepts, benefits, and challenges of ML system testing while exploring best practices at each development stage. Gain practical insights from real project experiences as speaker Nina Mrzelj explains how to overcome typical obstacles to accelerate product development and enhance quality. Master essential strategies for implementing effective testing protocols in ML systems that are becoming increasingly prevalent across industries.
Testing Machine Learning Systems - What It Is and Why You Should Care
Data Science Conference via YouTube
Overview
Syllabus
Testing Machine Learning Systems: What it is and why you should care |Nina Mrzelj| DSC Europe 2022
Taught by
Data Science Conference
Related Courses
-
Software Engineering: Software Design and Project Management
-
Reproducibility and Versioning of Machine Learning Systems
-
Industrializing In-Game Machine Learning Solutions: From Prototypes to AAA Games
-
Introduction to Medical Software
-
QA for AI: Testing Machine Learning Applications - The Reality of Developing an Artificial World
-
SW Testing - Can ML Save Us?
