Ineffective and expensive feature engineering practices often plague companies that work with large amounts of data. This keeps them from organizing a sophisticated machine learning operation. A lot of time is spent fetching the data for ML purposes, but it’s unclear whether there are any inconsistencies between ingestion and service of models. As a result […]
The post Feature Stores: Components of a Data Science Factory [Guide] appeared first on neptune.ai.
from Planet SciPy
read more
No comments:
Post a Comment