What is batch processing in machine learning?
An example of an AI chatbot conversation about batch processing in machine learning.
What is batch processing in machine learning?
Batch processing in machine learning refers to the technique of processing data in groups or batches rather than one at a time.
Why is batch processing preferred over online processing?
Batch processing is often preferred because it can be more efficient, allowing for faster computation and better resource utilization.
Can you give me an example of batch processing?
Sure! An example would be training a model on a large dataset by dividing it into smaller batches, processing each batch sequentially.
What are the advantages and disadvantages of batch processing?
Advantages include efficiency and reduced computational cost, while disadvantages can be slower feedback and potential memory issues.
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