Dive into the world of machine learning and explore how it empowers businesses to extract valuable insights from vast amounts of data. Discover practical techniques and tools for successful implementation.

In this four-part series, you’ll learn how to create an Intelligent App with Azure. This second tutorial demonstrates how to add intelligent features to this user feedback analysis application. Then, it explores how to use your new Intelligent App to analyze user feedback.

Discover how to leverage AI capabilities in .NET applications for generating custom images from textual descriptions with ease.

A layman's description of how Kalman Filters work, and sample code that shows how to use it to forecast stock market volatilities

How to implement logistic regression in ML.NET?

AlbiruniML is a linear algebra and machine learning library written in pure C# language inspired by tensorflow

Use CodeProject.AI Server to simplify your MLOps by providing a self-hosted, open source solution with easy installation, support for any language or framework, and built-in management of AI modules

In topic 2 of our series, we explore the power of multi-model databases for Intelligent Apps and their integration with Azure Cosmos DB and Azure Kubernetes Service (AKS).

The full walkthrough of a bare bones module for CodeProject.AI using Python

What clustering algorithm should be selected for the clustering task?