This article, which appeared in MSDN Magazine in May 2019, shows how to use survival analysis techniques, including the Cox Proportional Hazards Regression and the Weibull Regression, for predicting and analyzing machine failures.
Code examples are in R. Please send us an email if you are interested in access to the data mentioned in the article.
This article, which appeared in MSDN Magazine in April 2014, explains basic concepts in survival analysis and how to apply them using a real-world example.
Code examples are in C#. Please send us an email if you are interested in access to the code in the article.
This article, which appeared in MSDN Magazine in December 2018, explains how to use process mining in conjunction with Microsoft Azure's LUIS, to analyze conversational data.
This article, which appeared in MSDN Magazine in July 2018, explains how to use explainable AI techniques, including ScatterText and LIME, to troubleshoot and improve the performance of machine learning algorithms applied to chatbots and voice interfaces.
Code examples are in Python.
It is worthwhile to mention that while the techniques mentioned in this article were applied to the Microsoft's LUIS offering, they can also be applied to many other Natural Language Understanding libraries including the popular open source library Rasa.
More information about that in our Tech Blog as well as in a talk presented at the Rasa NYC Meetup in early 2019 available here.