What are some disadvantages of batch learning algorithms?Select one:a.They are prone to overfittingb.They require a small amount of datac.They are slow to adapt to changes in the datad.They require a large amount of resources
Question
What are some disadvantages of batch learning algorithms?Select one:a.They are prone to overfittingb.They require a small amount of datac.They are slow to adapt to changes in the datad.They require a large amount of resources
Solution
The disadvantages of batch learning algorithms are:
c. They are slow to adapt to changes in the data: Batch learning algorithms require retraining on the entire dataset whenever new data comes in. This makes them slow to adapt to changes in the data.
d. They require a large amount of resources: Since batch learning algorithms process the entire dataset at once, they require a large amount of computational resources. This can be a disadvantage especially when dealing with large datasets.
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