How to improve data quality for Machine Learning?

How to improve data quality for Machine Learning?

How to improve data quality for Machine Learning? The ultimate goal of every data scientist or Machine Learning evangelist is to create a better model with higher predictive accuracy.

The ultimate goal of every data scientist or Machine Learning evangelist is to create a better model with higher predictive accuracy. However, in the pursuit of fine-tuning hyperparameters or improving modeling algorithms, data might actually be the culprit. There is a famous Chinese saying “工欲善其事,必先利其器” which literally translates to — To do a good job, an artisan needs the best tools. So if the data are generally of poor quality, regardless of how good a Machine Learning model is, the results will always be subpar at best.

big-data data-science data-management machine-learning data-quality

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