Machine Learning Operations - MLOPS

This Page reveals tips you could use while deriving any AI project into real world. I will mostly talk about what things we should care about when we are working on various machine learning model phases such as :

Chapter

1. AI problem formulations
2. Requirement understanding and setting up relevent metrics
3. Model development and offline evaluation
4. Model profiling
5. Model in production

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Reference :

• I really like the way Chip Huyen has illustrated the different concepts in her book ‘Designing Machine Learning Systems’. Most of the concepts has been cherry picked from this book , along with my personal experience.