How frequently should we update an algorithm in the field of machine learning?
This data scientist interview question gives an idea to the interviewer if you are familiar with the algorithms and machine learning.
An algorithm is a well-defined procedure to resolve any issue and frequent changes should not be made to an algorithm on a regular basis as it won’t be well-defined anymore. It also brings various problems to the other existing algorithms.
Therefore, it should be updated in the below cases.
- It is fine to make changes if you want the model to evolve.
- It is necessary to update the algorithm in the case underlying data sources are changing.
- In the case of non-stationarity.
- One of the major reasons which required updating the algorithm is its underperformance and lack of efficiency.
BY Best Interview Question ON 02 Nov 2022