Microsoft has unveiled a new drag-and-drop machine learning tool, simplifying the process of building models for developers. The tool, part of the Azure Machine Learning service, allows developers to train models without needing to write code. The company has also launched hosted Jupyter notebooks in its Azure cloud.
The drag-and-drop tool is designed to be intuitive, enabling developers to import data from a variety of sources, manipulate it, and then train models. It supports popular machine learning frameworks such as Scikit-learn, XGBoost, and LightGBM. The tool also includes features for automated machine learning and hyperparameter tuning.
The hosted Jupyter notebooks, meanwhile, offer developers an environment for writing code, running it, and visualising data. They come with a free tier, making them accessible for developers starting out in machine learning.
These products are part of Microsoft’s wider push to democratise access to artificial intelligence. The company aims to make AI accessible to all developers, regardless of their skill level or background. It is also focusing on ethical AI development, with guidelines for fairness, transparency, privacy, and security. Microsoft believes that AI should be used responsibly and that developers should be accountable for their creations.
Go to source article: https://techcrunch.com/2019/05/02/microsoft-launches-a-drag-and-drop-machine-learning-tool-and-hosted-jupyter-notebooks/