DATA SCIENCE
Azure AI concepts and implementation
Use Azure AI to add speech, vision, language, and decision capabilities to your applications, create chatbots, and uncover insights with AI-powered search.
Build AI applications in your preferred software development language, in the cloud, on-premises, or at the edge—no machine learning expertise required.
From real-time crime detection using video surveillance to audio-induced predictive maintenance, organizations are leveraging Artificial Intelligence to drive critical use cases. The concept of digital and business transformation has been around for a couple of years but now we are seeing businesses embrace AI to propel their strategy forward. As new use cases are added to their AI agenda, vendors need to add new tools and improvements to their platforms to keep up with customer needs. Microsoft is one of those companies that has been adding improvements to their Azure AI that focuses on making it easy for data scientists and developers to deploy, manage and secure AI workloads.
Azure Machine Learning service provides a cloud-based environment you can use to prep data, train, test, deploy, manage, and track machine learning models. Start training on your local machine and then scale out to the cloud. The service fully supports open-source technologies such as PyTorch, TensorFlow, and scikit-learn and can be used for any kind of machine learning, from classical ml to deep learning, supervised, and unsupervised learning. Use the Azure Machine Learning Python SDK with open-source Python packages, or use the visual interface (preview) to build and train highly accurate machine learning and deep-learning models yourself in an Azure Machine Learning service Workspace.
Azure empowers data scientists and developers with a wide range of productive experiences to build, train and deploy machine learning models and foster team collaboration. Accelerate time to market with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible machine learning.
Machine Learning With Azure
