What is a potential challenge when deploying machine learning models?

Practice Questions

Q1
What is a potential challenge when deploying machine learning models?
  1. Overfitting the model
  2. Data drift
  3. Lack of training data
  4. All of the above

Questions & Step-by-Step Solutions

What is a potential challenge when deploying machine learning models?
  • 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.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely