Davide Frazzetto Presents:
A Hitchhiker Guide to MLOps
Bringing Machine Learning (ML) applications to a live production phase comes with all the same challenges of traditional software development, and more. Examples are: large datasets, tracking data quality and models quality, experiments reproducibility, and monitoring a live application. This talk is a grounded introduction to monitoring the ML lifecycle with only open source software.
Slides: https://github.com/dave-frazzetto/hitchhiker-guide-mlops
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