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Showing posts from November, 2023

The Role of MLOps in Ensuring Model Fairness and Accountability - Michał Opalski / ai-agile.org

Prototyping and MVPs in Machine Learning: How to quickly build and iterate upon minimal viable models to align with agile principles - Michał Opalski / ai-agile.org

MLOps and Agile: A Comprehensive Examination of Bridging the Gap between Development and Deployment - Michał Opalski / ai-agile.org

Incorporating Agile into Machine Learning Projects: A Primer - Michał Opalski /ai-agile.org

The Benefits and Challenges of Implementing Cloud-based AI Solutions - Michał Opalski / ai-agile.org

Enhancing Sprint Planning with AI: A Deep Dive into Next-Gen Project Management - Michał Opalski / ai-agile.org

Challenges and Solutions: Adapting Scrum for Data-Intensive ML Pipelines - Michał Opalski /ai-agile.org