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preface
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Classroom Contents
A Hitchhiker's Guide to the MLOps Experience
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- 1 intro
- 2 preface
- 3 ml engineers' lives can be challenging
- 4 the current solution
- 5 who is noa
- 6 what is mlops
- 7 mlops is important to ml engineers
- 8 the main components mlops should cover
- 9 data challenges
- 10 data versioning
- 11 data visualisations
- 12 experiments challenges
- 13 experiment tracking
- 14 the main components mlops should cover
- 15 models challenges
- 16 model registry
- 17 general ux tips
- 18 what is your favourite mlops experience? tell me!
