Articles and White Papers

This page contains links to other Tech Articles and White Papers authored by MuyVentive's staff.

Feedback and suggestions are welcome at info@muyventive.com

Using Survival Analysis for Predictive Maintenance

Zvi Topol | May 2019 | MSDN Magazine | Predictive Maintenance, Machine Learning, Time Series, Regression Analysis, IoT

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.

If you are interested in the German version, it is accessible here

C#: Using Survival Analysis

Zvi Topol | April 2014 | Survival Analysis, Visualizations, Analytics

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.

Gain Insight from Conversations Using Process Mining With LUIS

Zvi Topol | December 2018 | Natural Language Processing, AI, Microsoft Azure, Process Mining

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.

The use case in the article was also mentioned in a blog post of the Process Mining company Fluxicon - see here.

Improving LUIS Intent Classifications

Zvi Topol | July 2018 | Natural Language Processing, AI, Microsoft Azure, Explainable AI, Machine Learning, Visualizations

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.

The Spanish version is available here.
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.