This article shows you how to access the repository from the following environments:

• Azure Machine Learning compute instance
• Bring your own notebook server
• Data Science Virtual Machine

Azure cognitive services, including a variety services related to language and language processing (speech recognition, speech formation, translations), text recognition, and image and character recognition. The services can be used, for example, in various bot-based solutions.
Azure Machine Learning services that can utilise existing AI and machine learning algorithms (and that can be used to develop new ones) in order to process and analyse data in different ways.
At Sulava, we can help your organisation think about how AI and machine learning services can be utilised as part of the organisation’s applications and services.

Discover Azure AI—a portfolio of AI services designed for developers and data scientists. Take advantage of the decades of breakthrough research, responsible AI practices, and flexibility that Azure AI offers to build and deploy your own AI solutions. Access high-quality vision, speech, language, and decision-making AI models through simple API calls, and create your own machine learning models with tools like Jupyter Notebooks, Visual Studio Code, and open-source frameworks like TensorFlow and PyTorch.