The Secret Life of Predictive Models

Claudia Perlich | Dstillery


Predictive modeling and its variants are at the core of an increasing number of technical advances that touch us in every aspect of our life. Today, nobody doubts the ability of machines to learn from historical data and predict with far higher accuracy than any human. But real world applications of machine learning are often a far cry from the well understood academic assurances of how these algorithms should behave.
In this talk I will share some practical lessons when models had a surprising secret life and did something very different from what I thought I had asked them to do. As the creators of machine learning solutions it is our responsibility to pay attention to the often subtle symptoms and to let our human intuition be the gate keeper deciding when our models are ready to be released 'into the wild'.

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claudia perlich

Chief Scientist | Dstillery

As the Chief Scientist at Dstillery, Claudia Perlich leads the machine learning efforts that help target consumers and derive insights for marketers.  With more than 50 published scientific articles and numerous  awards, she is a widely acclaimed expert on big data and machine learning applications, and an active speaker at data science and marketing conferences. Prior to joining Dstillery in 2010, Claudia worked at IBM’s Watson Research Center, focusing on data analytics and machine learning.  She holds a PhD in Information Systems from New York University (where she continues to teach at the Stern School of Business) and an MA in Computer Science from the University of Colorado.