Shreya Shankar: Natural causes of data drift

Data Validation in Production ML Pipelines course: http://wandb.me/data_val_course_yt

Model accuracy can drop for multiple reasons, one being data corruption, which can come from data drift. There are some natural cases for data drift, and even though it is expected not everyone knows how to work with it and set up a correct alerting system that does not overwhelm engineers.
By taking the course with Shreya you will gain expertise in data validation to build robust production ML pipelines, detect data …

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