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Live Webinar | Writing your First Testing Suite with pytest for your Machine Learning model
IDEAS & Data Application Lab co-host this live webinar:

Guest Speakers: Irina Kukuyeva

Topics: Writing your First Testing Suite with pytest for your Machine Learning model

Description:
We've all heard that we should be testing our Machine Learning models in production and getting good test coverage. This talk will give an overview of 4 types of tests: unit, integration, regression and parametrized test, via examples in pytest. You'll write more robust code in no-time, no prior testing experience necessary.

About Data Application Lab:
https://www.dataapplab.com/about-us/

About IDEAS;
https://www.ideassn.org/

Jul 20, 2019 05:00 PM in Pacific Time (US and Canada)

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Speakers

Irina Kukuyeva
Principal @Kukuyeva Consulting
Dr. Irina Kukuyeva is a Principal at Kukuyeva Consulting, advising companies on data strategy, collection, implementations and hiring. She has 10+ years of experience collaborating with technical and business/clinical stakeholders, developing and productionalizing machine learning models for start-ups and large-sized companies in areas of healthcare, IoT, fashion, hospitality, market research and online advertising. Irina holds a Ph.D. in Statistics from UCLA, where she developed a novel image compression algorithm for Hubble Space Telescope's images of Jupiter. In her spare time, she enjoys mentoring adults that want to get into tech.