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[Tutorial] Evaluating Failure Prediction Models for Predictive Maintenance — Shaheen Gauher (Microsoft)
Oct
10
11:40 AM11:40

[Tutorial] Evaluating Failure Prediction Models for Predictive Maintenance — Shaheen Gauher (Microsoft)

Predictive Maintenance is about anticipating failures and taking preemptive actions. In the realm of predictive maintenance, the event of interest is an equipment failure. Modelling for Predictive Maintenance falls under the classic problem of modelling with imbalanced data when only a fraction of the data constitutes failure. This kind of data poses several issues. In this talk I will highlight some of the pitfalls and challenges of building a model with such data and describe ways to circumvent the problems using real use cases and examples.

Shaheen Gauher, PhD, is a Data Scientist in Information Management and Machine Learning at Microsoft. She develops end to end data driven advanced analytic solutions for external customers working across all verticals.

Twitter: @Shaheen_Gauher - Linkedin

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[Tutorial] Beyond Churn Prediction: An Introduction to Uplift Modelling — Pierre Gutierrez (Dataiku)
Oct
10
11:00 AM11:00

[Tutorial] Beyond Churn Prediction: An Introduction to Uplift Modelling — Pierre Gutierrez (Dataiku)

In several industries (e-business, telcos…), a common approach to diminishing user churn is to use machine learning to score individual customers by churn probability and target them with specific messaging or offers. However, this approach may be ineffective since it does not optimize what is called "true lift" or "uplift": the effect of an action on churning probability. This talk aims at introducing uplift modeling in a tutorial like format. We’ll cover the basics of the theory as well as how to make it work in practice. We will illustrate the talk with examples from real life.

Pierre Gutierrez is a senior data scientist at Dataiku. As a data science expert and consultant, Pierre has worked in diverse sectors such as e-business, retail, insurance or telcos. He has experience in various topics such as fraud detection, bot detection, recommender systems, or churn prediction.

Twitter: @prrgutierrez - Linkedin

 

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