A repository of features, i.e. the key data inputs that have the biggest impact on machine learning models.
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Some enterprises now use feature stores to assist their feature engineering efforts. Feature stores are platforms for defining features, curating them and then serving them to various ML algorithms and models. They also can assist with data transformation as described in step 1 above.
Relevant Content
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The Machine Learning Lifecycle and MLOps: Building and Operationalizing ML Models - Part II
May 12, 2021 - To build a machine learning model, choose an ML technique and feed data to its algorithm to train it. You make changes until you have an accurate ML model.
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