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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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