Upper-Intermediate Collocations #machine learning#MLOps#AI#collocations

ML Model Lifecycle

MLOps has a precise vocabulary that distinguishes professionals from beginners. Train the model, monitor data drift, and retrain the model are the standard collocations across the ML model lifecycle. These exercises prepare you to communicate accurately in data science and ML engineering contexts.

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The data science team spent two weeks to ___ on the cleaned dataset before evaluating performance.

Frequently Asked Questions

What does the "ML Model Lifecycle" exercise practise?

MLOps has a precise vocabulary that distinguishes professionals from beginners. <em>Train the model</em>, <em>monitor data drift</em>, and <em>retrain the model</em> are the standard collocations across the ML model lifecycle. These exercises prepare you to communicate accurately in data science and ML engineering contexts.

How many questions are in this exercise?

This exercise has 5 questions, each multiple-choice with an explanation shown after you answer.

What English level is this exercise for?

This exercise is tagged Upper-Intermediate. If the vocabulary feels difficult, browse Collocations for a related exercise to start with instead.