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What is a potential challenge when deploying machine learning models?
Practice Questions
Q1
What is a potential challenge when deploying machine learning models?
Overfitting the model
Data drift
Lack of training data
All of the above
Questions & Step-by-Step Solutions
What is a potential challenge when deploying machine learning models?
Steps
Concepts
Step 1: Understand what machine learning models are. They are algorithms that learn from data to make predictions or decisions.
Step 2: Recognize that these models rely on data to function correctly.
Step 3: Identify that data drift is a situation where the data used by the model changes over time.
Step 4: Realize that when data drift happens, the model may not perform well because it was trained on different data.
Step 5: Conclude that monitoring and updating the model is necessary to handle data drift effectively.
No concepts available.
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