Microsoft AI Services

Explore the comprehensive suite of AI and Machine Learning services offered by Microsoft on Azure and through .NET, empowering developers to build intelligent applications.

Azure Machine Learning

Azure Machine Learning is a cloud-based environment for training, deploying, and managing machine learning models. It provides a visual designer, automated ML capabilities, and robust MLOps features.

Key Features:

• Visual drag-and-drop interface for model building.
• Automated Machine Learning (AutoML) to find the best model.
• Scalable compute resources for training.
• Tools for responsible AI, including fairness and explainability.
• End-to-end MLOps for streamlined deployment and monitoring.

For detailed information, visit the Azure Machine Learning documentation.

Azure Cognitive Services

Azure Cognitive Services bring cutting-edge AI to developers through simple API calls. These services span vision, speech, language, decision, and search capabilities.

Categories:

• Vision: Computer Vision, Custom Vision, Face API
• Speech: Speech to Text, Text to Speech, Speaker Recognition
• Language: Text Analytics, Translator, QnA Maker
• Decision: Anomaly Detector, Content Moderator
• Search: Bing Search APIs

Learn more about integrating intelligence into your applications with Azure Cognitive Services.

Azure Bot Service

Azure Bot Service provides an integrated set of tools and services to build, test, deploy, and manage intelligent bots. Connect your bots to various channels to interact with users anywhere.

Features:

• Development with popular bot frameworks like Bot Builder SDK.
• Integration with Azure Cognitive Services for enhanced capabilities.
• Multi-channel support (Web Chat, Teams, Facebook, etc.).
• Scalable hosting and management on Azure.

Start building conversational experiences with Azure Bot Service.

ML.NET

ML.NET is a free, cross-platform, open-source machine learning framework for .NET developers. Integrate custom ML models into your .NET applications without needing deep ML expertise.

Capabilities:

• Model training for classification, regression, clustering, and more.
• Support for ONNX models.
• ML.NET Model Builder for a visual, low-code experience.
• Integration with TensorFlow and other ML frameworks.

Empower your .NET applications with machine learning using ML.NET.

Getting Started with Microsoft AI

Ready to dive in? Check out our comprehensive guide to get started with Azure Machine Learning and other AI services:

Getting Started with Microsoft AI & ML Services

using Azure.AI.TextAnalytics;
using Azure;

// Authenticate and create a client
var credentials = new AzureKeyCredential("YOUR_API_KEY");
var endpoint = new Uri("YOUR_ENDPOINT");
var client = new TextAnalyticsClient(endpoint, credentials);

// Text to analyze
string text = "Microsoft is a leading technology company.";
var documents = new List { text };

// Analyze sentiment
var response = await client.AnalyzeSentimentAsync(documents);

foreach (AnalyzeSentimentResult sentimentResult in response.Value)
{
    Console.WriteLine($"  Document text: \"{text}\"");
    Console.WriteLine($"  Sentiment: {sentimentResult.DocumentSentiment}");
    Console.WriteLine($"  Positive score: {sentimentResult.ConfidenceScores.Positive:0.00}");
    Console.WriteLine($"  Neutral score: {sentimentResult.ConfidenceScores.Neutral:0.00}");
    Console.WriteLine($"  Negative score: {sentimentResult.ConfidenceScores.Negative:0.00}");
}