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Azure Machine Learning (ML) has reached the GA milestone. Azure ML offers a streamlined experience for data scientists of all skill levels, from getting started with nothing but a browser window, to using drag and drop gestures and simple data flow graphs to set up experiments, to operationalizing an ML model into web services within seconds. ML Studio features a library of time-saving sample experiments, R and Python packages and best-in-class algorithms from Microsoft businesses like Xbox and Bing.
In this webinar, we will explore the numerous new capabilities added in the GA release including the following:
- Guided Tour/Experiment
- Community Gallery
- Revamped Web Service publishing process
- Excel support
- Exciting new modules including Python Scripts
- Learning by Count, Transform and many more
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