Showing 9901–9912 of 10358 results
Use events and triggers in Dynamics 365 Business Central
Do you want to know how to access different table and page triggers? Do you also want to learn how to develop by using event-based architecture? If so, this module will explain how to use events and triggers in Microsoft Dynamics 365 Business Central.
Use functions and modules in Windows PowerShell scripts
This module covers how to create modules and functions in Windows PowerShell scripts.
Use intelligent planners
This module introduces different ways to automatically invoke functions using the Semantic Kernel SDK. Learn how planners can generate plans to accomplish tasks and how to fine-tune planners to optimize performance.
Use mathematical operations in Python
Almost every application a developer creates involves some level of math. This module explores the core functionality in Python and arithmetic operators. You'll also explore how to perform more manipulations of data and numbers. You'll put this knowledge to use to create a project to determine the distance between planets.
Use methods and interfaces in Go
Learn about best practices for writing methods and interfaces in Go.
Use methods to accept user inputs in Windows PowerShell scripts
This method explains multiple methods for accepting user input in a Windows PowerShell script.
Use Microsoft accessibility features in education
Microsoft solutions for education include accessibility tools for vision, hearing, neurodiversity, cognition, and mobility. Help your education customers use the key accessibility features to give every student the opportunity to learn. This module is part of the Partner Success Series.
Use Microsoft Graph and non-Microsoft APIs
This module introduces you to using external APIs in your SharePoint Framework projects. SharePoint Framework projects can incorporate data from anonymous APIs, those REST APIs secured with Microsoft Entra ID, and Microsoft Graph.
Use MLflow in Azure Databricks
MLflow is an open source platform for managing the machine learning lifecycle that is natively supported in Azure Databricks.
Use MLflow with Azure Machine Learning jobs submitted with CLI (v2)
Use MLflow to track model metrics and artifacts when training and registering models with the Azure Machine Learning CLI (v2).
Use model-driven apps and Dataverse with Business Central
This module focuses on the building blocks of Dataverse and model-driven apps as well as using them together with Business Central.
Use notebooks for experimentation in Azure Machine Learning
Learn how to use Azure Machine Learning notebooks for experimentation. Similar to Jupyter, the notebooks are ideal for exploring your data and developing a machine learning model.