Mckinsey Interview Questions | Practical Problem

Question

If you are having 4GB RAM in your machine and you want to train your model on a 10GB data set. How would you go about this problem?

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Dhruv2301 55 years 2 Answers 1167 views Great Grand Master 0

Answers ( 2 )

  1. We can use spark or hadoop.

  2. Batch processing can accomplish this.

    There might also be situations when a lot of data points add little or no value to the model. In such cases, we can sample a smaller proportion of the data to run the model on, without compromising on performance

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