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Shaheen Gauher
Boston
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Hi Chris - Will be happy to discuss. The resources below might be relevant to your industry. Check it out.
A webinar on retail pricing:
https://info.microsoft.com/CO-Azure-WBNR-FY16-13Oct15-CortanaAnalyticsRetailPricing-Register.html
Azure ML experiments in Cortana Intelligence gallery used in the tutorial and webinar:
https://gallery.cortanaintelligence.com/Collection/Modeling-Price-Elasticity-Demo-Experiments-in-the-Cortana-Analytics-Webinar-for-Retail-Pricing-1?r=legacy&share=1
Commented Apr 14, 2016 on Predicting Wine Quality with Azure ML and R at Revolutions
Predicting Wine Quality with Azure ML and R
by Shaheen Gauher, PhD, Data Scientist at Microsoft In machine learning, the problem of classification entails correctly identifying to which class or group a new observation belongs, by learning from observations whose classes are already known. In what follows, I will build a classification ex...
Hi John - Thanks for your feedback. You can definitely stay in R the entire time. Jupyter Notebooks with R are now a feature of the Azure Machine Learning Studio. You can create and edit R notebooks directly in the Azure ML cloud. Using the AzureML R package (comes installed by default on the Jupyter server), you can interact between R notebooks and your Azure ML environment. For more details see the links below. I would highly recommend checking out the sample R noteboooks in Cortana Intelligence gallery.
http://blog.revolutionanalytics.com/2016/03/jupyter-notebooks.html
https://blogs.technet.microsoft.com/machinelearning/2016/03/30/jupyter-notebooks-with-r-in-azure-ml-studio-2/
Commented Apr 13, 2016 on Predicting Wine Quality with Azure ML and R at Revolutions
Predicting Wine Quality with Azure ML and R
by Shaheen Gauher, PhD, Data Scientist at Microsoft In machine learning, the problem of classification entails correctly identifying to which class or group a new observation belongs, by learning from observations whose classes are already known. In what follows, I will build a classification ex...
Thanks John. You can find the link to the paper with the derivations in the article.
https://github.com/shaheeng/ClassificationModelEvaluation/blob/master/Baseline%20Metrics_Shaheen_article.pdf
Will be happy to answer additional questions if any.
Commented Mar 25, 2016 on Is your Classification Model making lucky guesses? at Revolutions
Is your Classification Model making lucky guesses?
by Shaheen Gauher, PhD, Data Scientist at Microsoft At the heart of a classification model is the ability to assign a class to an object based on its description or features. When we build a classification model, often we have to prove that the model we built is significantly better than random ...
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