How to Choose an Approach to Managing an ML Project
summary
Explains how to choose an approach for managing a machine learning project, comparing different project management strategies for ML work. Covers practical considerations for organizing ML development, deployment and team processes to select an appropriate management method.
AI-written summary · about
related talks
43mML application lifecycle
31mWhat Should a DevOps Do When You Want Machine Learning
37mApplying ML in AdTech and Lifecycle of an ML project
27mA Look Inside Applied Machine Learning
24mFoundations for ML at Scale: Where to Start in Your Organization
32mWhy ML Projects Fail and How to Ensure Their Success
52mThe ML Lifecycle in Combat Conditions
48mWhen Not to Use ML
