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  1. Two-Class Boosted Decision Tree component

    Aug 28, 2024 · A boosted decision tree is an ensemble learning method in which the second tree corrects for the errors of the first …

  2. Microsoft Agent Framework Workflows Orchestrations - Concurrent

    May 21, 2026 · Concurrent orchestration enables multiple agents to work on the same task in parallel. Each agent processes the …

  3. Concurrent Agent Orchestration | Microsoft Learn

    Jul 21, 2025 · Concurrent orchestration enables multiple agents to work on the same task in parallel. Each agent processes the input …

  4. What is automated ML? AutoML - Azure Machine Learning

    Nov 24, 2025 · Then for each ensemble iteration, a new model is added to the existing ensemble and the resulting score is …

  5. Microsoft Learn: Build with answers in reach

    Find official documentation, practical know-how, and expert guidance for builders working and troubleshooting in Microsoft products.

  6. Semantic Kernel Agent Orchestration | Microsoft Learn

    Jul 21, 2025 · Semantic Kernel’s Agent Orchestration framework enables developers to build, manage, and scale complex agent …

  7. Multiclass Decision Forest: Component Reference - Azure Machine ...

    Aug 28, 2024 · This article describes a component in Azure Machine Learning designer. Use this component to create a machine …

  8. Decision Forest Regression: Component Reference - Azure Machine ...

    Aug 28, 2024 · Learn how to use the Decision Forest Regression component in Azure Machine Learning to create a regression …

  9. Demand forecasting algorithms - Supply Chain Management

    Apr 22, 2026 · Learn how each of the available forecasting algorithms works in Demand planning. In addition, learn about each …

  10. Overview of update channels for Microsoft 365 Apps

    May 27, 2026 · Provides IT Pros with an overview of the update channels for Microsoft 365 Apps, including Current Channel, Monthly …

  11. Content filtering for Microsoft Foundry Models (classic)

    Feb 27, 2026 · This system runs both the prompt and completion through an ensemble of classification models designed to detect …