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Presentation: Transmogrification: The Magic of Feature Engineering

Track: Predictive Data Pipelines & Architectures

Location: Cyril Magnin I

Duration: 10:40am - 10:50am

Day of week: Tuesday

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Abstract

Machine learning algorithms often take center stage in machine learning and AI. However, in the real world, 90% of the time spent building models goes into creating the mythical perfect numeric matrix of features, to feed into the chosen algorithm. Every machine learning team repeats the same effort, reinventing the wheel once again.

In this session, you'll learn about transmogrification, where we magically and automatically engineer features based on the type of feature, data distribution and association with the response variable.

Speaker: Leah McGuire

Principal Member of Technical Staff @Salesforce

Leah McGuire is a Principal Member of Technical Staff at Salesforce, working on automating as many of the steps involved in machine learning as possible. Before joining Salesforce, Leah was a Senior Data Scientist on the data products team at LinkedIn. She completed a PhD and a Postdoctoral Fellowship in Computational Neuroscience at the University of California, San Francisco, and at University of California, Berkeley, where she studied the neural encoding and integration of sensory signals.

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Speaker: Mayukh Bhaowal

Director of Product Management @Salesforce

Mayukh Bhaowal is a Director of Product Management at Salesforce Einstein, working on automated machine learning. Mayukh received his Masters in Computer Science from Stanford University. Prior to Salesforce, Mayukh worked at startups in the domain of machine learning and analytics. He served as Head of Product of a ML platform startup, Scaled Inference, backed by Khosla Ventures, and led product at an ecommerce startup, Narvar, backed by Accel. He was also a Principal Product Manager at Yahoo and Oracle.

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