{"id":56154,"date":"2023-06-20T15:00:00","date_gmt":"2023-06-20T14:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-gb\/industry\/blog\/?p=56154"},"modified":"2023-06-12T13:17:04","modified_gmt":"2023-06-12T12:17:04","slug":"getting-started-with-azure-machine-learning","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-gb\/industry\/blog\/technetuk\/2023\/06\/20\/getting-started-with-azure-machine-learning\/","title":{"rendered":"Getting started with Azure Machine Learning"},"content":{"rendered":"

Azure Machine Learning provides an environment to create and manage the end-to-end life cycle of Machine Learning models. Azure Machine Learning\u2019s compatibility with open-source frameworks and platforms like PyTorch and TensorFlow makes it an effective all-in-one platform for integrating and handling data and models. Azure Machine Learning is designed for all skill levels, with advanced MLOps features and simple no-code model creation and deployment.<\/p>\n

\u00a0<\/p>\n

Getting started with Azure Machine Learning<\/h2>\n

Azure Machine Learning (Azure ML) is a cloud-based environment where you can build and manage machine learning models. It\u2019s designed to govern the entire ML life cycle, so you can train and deploy models without focusing on setup. The platform is suitable for any kind of machine learning, from classical to deep learning, to supervised and unsupervised learning.<\/p>\n

Azure ML is structured to help teams of data scientists and ML engineers make the most of their existing data processing and model development skills. Whether you prefer Python or R – or have previous experience with other open-source platforms such as PyTorch and TensorFlow – Azure ML is flexible enough to support these platforms and accelerate your work.<\/p>\n

With built-in services like Azure ML studio that provide a user-friendly interface, and Automated Machine Learning capabilities that assist you in model selection and training, Azure ML has tools and features to suit every level of experience.<\/p>\n