Writing your First Testing Suite with pytest for your Machine Learning model
Details
Link to join the workshop: https://dataapplab.zoom.us/webinar/register/4115626132689/WN_1OBMW0iKQv-x7u36rDlGqw
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.
Short Bio: 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.