Microsoft has been busy with its object-database mapper tooling for .NET, unveiling a plan for Entity Framework Core 7, along with guidance to port EF6 applications to EF Core.
A chi-square (also called chi-squared) test is a classical statistics technique that can be used to determine if observed-count data matches expected-count data.
- By James McCaffrey
- 01/03/2022
The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") and output class 0 (negative review) or class 1 (positive review).
- By James McCaffrey
- 11/16/2021
Dr. James McCaffrey of Microsoft Research presents a simple technique he has used with good success, previously unpublished and without a standard name.
- By James McCaffrey
- 10/04/2021
Microsoft has open sourced a .NET 5 C# Language Extension for SQL Server, allowing developers to work with relational data in the company's flagship programming language.
In announcing the sixth preview release of EF Core 6.0, Microsoft noted the dev team for the open source, cross-platform data development framework is still playing catch-up with EF6, the traditional object-relational mapping (ORM) framework formerly tied to the Windows-only .NET Framework.
Some six years in the making, an effort to quicken app startup times in Entity Framework Core via compiled models has been realized in the new v6.0 Preview 5.
SQL Server's OpenJson function will let you dismantle JSON structures into relational tables, including tables with foreign/primary key relationships.
Here's how you can use SQL Server's OpenJson function to dismantle JSON structures into relational tables targeting either transactional systems or data warehouses.
The new Entity Framework Core 6.0 Preview 4 is described as a "performance edition," with the dev team turning from years-long concerns -- such as catching up to the old Entity Framework and adding new features -- to focus on speed.
Dr. James McCaffrey of Microsoft Research provides a code-driven tutorial on PUL problems, which often occur with security or medical data in cases like training a machine learning model to predict if a hospital patient has a disease or not.
- By James McCaffrey
- 05/21/2021
Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like detecting credit card fraud.
- By James McCaffrey
- 04/13/2021
When training data won't fit into machine memory, a streaming data loader using an internal memory buffer can help. Dr. James McCaffrey of Microsoft Research shows how.
- By James McCaffrey
- 04/01/2021
Microsoft's data dev team recently shipped Entity Framework Core 6.0 Preview 2, which comes a couple months after a survey surprised them with indications many developers are sticking with tech that can be more than 10 years old.
Dr. James McCaffrey of Microsoft Research explains how to evaluate, save and use a trained regression model, used to predict a single numeric value such as the annual revenue of a new restaurant based on variables such as menu prices, number of tables, location and so on.
- By James McCaffrey
- 03/12/2021