Recall & Review
beginner
What is cost optimization in machine learning projects?
Cost optimization means finding ways to reduce the money spent on computing resources, data storage, and other expenses while keeping the model's performance good.
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beginner
Why is using smaller datasets sometimes a good cost optimization strategy?
Smaller datasets reduce the time and computing power needed to train models, which lowers costs. But it should still keep enough data to learn well.
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intermediate
How does model pruning help in cost optimization?
Model pruning removes unnecessary parts of a model to make it smaller and faster. This reduces the computing resources needed, saving money.
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intermediate
What role do cloud spot instances play in cost optimization?
Spot instances are cheaper cloud computers that can be interrupted. Using them for training can save money if the job can handle interruptions.
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intermediate
Explain how automated hyperparameter tuning can reduce costs.
Automated tuning finds the best model settings faster than manual trial and error, saving time and computing power, which lowers costs.
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Which of the following is a direct way to reduce training costs?
What is a risk when using cloud spot instances for training?
Which technique reduces model size to save cost?
Why is early stopping useful for cost optimization?
Automated hyperparameter tuning helps cost optimization by:
Describe three strategies to optimize costs in machine learning projects.
Explain how early stopping and model pruning contribute to cost savings.