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Microsoft launches new machine learning tools

Microsoft launches new machine learning tools
From TechCrunch - September 25, 2017

Microsoft, just like many of its competitors, has gone all in on machine learning. That emphasis is on full display at the companys Ignite conference this where, where the company today announced a number of new tools for developers who want to build new A.I. models and users who simply want to make use of these pre-existing modelseither from their own teams or from Microsoft.

For developers, the company launched three major new tools today: the Azure Machine Learning Experimentation service, the Azure Machine Learning Workbench and the Azure Machine Learning Model Management service.

In addition, Microsoft also launched a new set of tools for developers who want to use its Visual Studio Code IDE for building models with CNTK, TensorFlow, Theano, Keras and Caffe2. And for non-developers, Microsoft is also bringing Azure-based machine learning models to Excel users, who will now be able to call up the AI functions that their companys data scientists have created right from their spreadsheets.

The Experimentation Service is all about helping developers quickly train and deploy machine learning experiments. The service supports all of the usual open source frameworks (PyTorch, Caffe2, TensorFlow, Cahiner and Microsofts own CNTK)and can scale from a local machines to hundreds of GPUs in the cloud (thanks to the use of Docker containers and the Azure Batch AI Training service). The tools also supports Apache Spark on Azure HDInsight clusters. The service keeps track of all the models, configurations and data (using Git repositories) to give developers full versioning for their experiments.

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