1 min read
Responsible AI: Implementing Fairness Metrics in ML Pipelines
Different fairness definitions apply to different contexts. Demographic parity, equalized odds, and calibration each capture distinct aspects of fairness.
Azure ML
11 articles
1 min read
Feature Engineering for ML: Patterns and Best Practices
Feature engineering is often the difference between mediocre and exceptional model performance. These are the production-ready patterns I apply when…
1 min read
Azure ML Compute: Choosing the Right Infrastructure
Azure ML offers three distinct compute experiences, and choosing the right one makes a significant difference to both cost and development friction. For…
1 min read
Azure Machine Learning Updates at Build 2023
Azure ML continues to evolve as a comprehensive platform for both traditional ML and GenAI workloads. Tomorrow, I will cover Responsible AI improvements in…
1 min read
Prompt Flow General Availability: Building Production LLM Applications
Prompt Flow provides the foundation for building production-grade LLM applications. Tomorrow, I will cover Azure Machine Learning updates from Build 2023.
1 min read
Azure Machine Learning Updates and New Features
Azure Machine Learning SDK v2 provides a cleaner, more intuitive API for the complete ML lifecycle.
1 min read
Feature Engineering Best Practices for Production ML
Feature engineering in 2021 became more systematic and production-oriented. The ad-hoc notebook approach is giving way to proper engineering practices.
1 min read
AI and Machine Learning Trends: What 2021 Taught Us
2021 proved that AI is no longer experimental - it's infrastructure. The focus has shifted from "can we do ML?" to "how do we do ML responsibly and reliably?"
1 min read
Managing Data with Azure ML Datasets
Proper data management with Azure ML Datasets is foundational to building reproducible, auditable machine learning pipelines.
1 min read
Scaling Machine Learning with Azure ML Compute Clusters
Compute clusters are essential for production ML workloads. Their ability to scale dynamically and support distributed training makes them the backbone of…
2 min read
Getting Started with Azure Machine Learning Compute Instances
Azure ML Compute Instances are the development environment that removes the "I can't reproduce the team's ML environment" problem for data science teams.…