R

What are the main drawbacks of using R for data science?

The question is about R .

Answer:

Significant disadvantages of R include its steep learning curve for new users, slower performance with very large datasets, and user interfaces that are less user-friendly than those of many popular software tools.

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Cortance provided us with three AI/ML experienced backend developers who met our tech expectations and integrated into our team well. They picked up our workflows quickly and, because of their solid experience, helped us to sort all the Machine learning-related tasks. The hiring process was also fast and efficient, which helped us scale without delays.

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