Artificial Intelligence Reference
Introduction to AI Development
Welcome to the MSDN AI Reference documentation. This portal provides comprehensive resources for developers looking to leverage the power of Artificial Intelligence in their applications. Whether you are new to AI or an experienced practitioner, you'll find guides, API references, tutorials, and best practices to help you build intelligent solutions.
Key Areas Covered:
- Machine Learning: Fundamentals, algorithms, model training, and deployment.
- Deep Learning: Neural networks, frameworks, and advanced architectures.
- Natural Language Processing (NLP): Text analysis, understanding, generation, and sentiment analysis.
- Computer Vision (CV): Image recognition, object detection, and video analysis.
- AI Services: Leveraging pre-built AI capabilities from cloud providers.
Getting Started with Azure AI Services
Azure offers a suite of cloud-based AI services that allow you to easily integrate intelligence into your applications without deep ML expertise. Explore our quickstarts to begin using services like:
API Reference Highlights
Dive into the specific details of our supported AI APIs and SDKs. Below is a glimpse of commonly referenced components:
| Service/Library | Description | Primary Language(s) |
|---|---|---|
| Azure Machine Learning SDK | Build, train, and deploy ML models at scale. | Python, R |
| Azure Cognitive Services (Text Analytics) | Perform sentiment analysis, key phrase extraction, language detection. | REST API, Python, C#, Java |
| TensorFlow | An open-source library for numerical computation and large-scale machine learning. | Python, C++ |
| PyTorch | An open-source machine learning library based on the Torch library. | Python, C++ |
For a complete list and detailed documentation, please navigate through the sidebar or use the search bar above.