SQL Server and SDS


Microsoft Previews Copilot AI in SQL Server Management Studio

In announcing SSMS 21 Preview 1 this week, Microsoft revealed Copilot AI for the tool is also being previewed, privately.

DBSCAN Clustering and Anomaly Detection Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of data clustering and anomaly detection using the DBSCAN (Density Based Spatial Clustering of Applications with Noise) algorithm. Compared to other anomaly detection systems based on data clustering, DBSCAN can find significantly different types of anomalies.

Winnow Classification Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the Winnow classification technique. Winnow classification is used for a very specific scenario where the target variable to predict is binary and all the predictor variables are also binary.

Python AI Updates Highlight New VS Code Release

Millions of Python developers using VS Code find updated data science functionality in the new release of version 1.94, the September 2024 edition of Microsoft's open-source-based editor.

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to implement, supports numeric and categorical predictor variables, and is highly interpretable.

Data Science Pack for VS Code Bundles Python, Data and Copilot Tools

New extension pack bundles wildly popular tools for Python development, assisted by the AI-powered GitHub Copilot and a data wrangler.

Logistic Regression with Batch SGD Training and Weight Decay Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using logistic regression, where the prediction model is trained using batch stochastic gradient descent with weight decay.

OData Finally Ditches Old .NET Framework

"The most disruptive change we are making in this release is dropping support for .NET Framework."

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Data Anomaly Detection Using LightGBM

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt the demo program for your own anomaly detection scenarios.

Stop Using Entity Framework as Just a DTO Provider

Chris Klug keeps seeing developers using Entity Framework, Microsoft's open-source object-relational mapper (ORM) for .NET applications, in less optimal ways.

Nearest Centroid Classification for Numeric Data Using C#

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique.

Regression Using LightGBM

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value.

Building Planet-Scale .NET Apps with Azure Cosmos DB

Azure Cosmos DB is a fully managed distributed database that can be transparently replicated across regions while remaining highly performant and seamlessly scaling according to needs, making it great for applications of any scale.

What's New for Web, Data, Desktop and Mobile in .NET 9 Preview 4

Enhancements listed for libraries/runtime and individual components/workloads for .NET 9, coming in November.

Clustering Mixed Categorical and Numeric Data Using k-Means with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique.

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