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#datascience #datasciencefestival #machinelearning You have wrangled your data, did some exploratory analysis, tested a few different model classes, selected a model of choice – now what? Whether you work in a small team and you've asked someone to review your code or in a larger team where you have tests set up, model validation and the general quality assurance (QA) stage is key. From bias to data leaks, a lot of things need to be checked and accounted for. Join us for a high-level session from Raluca Crisan, Data Scientist and Co-Founder of ETIQ, on how to go about this important part of the MLOps process. This session was part of the Data Science Festival Summer School in 2021. Find out more at https://datasciencefestival.com/event... The Data Science Festival is the place for data driven people to come together, share cutting edge ideas and solve real-world problems. We run monthly events, meetups and the biggest free to attend data festivals in the UK. Join the community at https://datasciencefestival.com/ #datasciencefestival #DIsummerschool #machinelearning