Udit Agarwal
One of the largest US software company Microsoft has now revealed up its cloud platform, Azure Machine Learning Service to the developers and data scientists to build, deploy and train the machine learning models the company revealed in a report.
The Redmond based software company has also opened the sourced the Open Neural Network Exchange(ONNX), runtime and interface engine for the models of the machine learning.
With the help of these platforms now available for the organizations, now developers can automate the Machine Learning model tuning and selection and can deploy the model with just one click, the company revealed in a blog post. Developers can also use any of the open source tools which include the Python software development Kit on the platform. Python is an open source programming language that works across the multiple different platforms.
“With features like automated ML, organizations can accelerate their model development by identifying suitable algorithms and ML pipelines faster. This helps to significantly reduce development time, from days to hours. With hyper-parametre tuning, organizations can enhance model accuracy,” said Eric Boyd, corporate vice president at Azure AI.
Once the entire model is developed, companies can easily deploy and manage their models in the cloud and on the edge which includes the Internet of Things, the company revealed.
Microsoft has also revealed a new update to the Microsoft Azure Cosmos DB database service. It is made available to the organizations from the different set of regions that need to run their artificial intelligence based applications on the cloud at a higher region of scale, the statement revealed. It also has a low entry barrier in the market and improves up the pricing for the companies which is running databases with the multiple containers.
In the month of June this year, Microsoft buys Github, to beef up its cloud computing business and expand clout among the software developers.
