Remove Data Modeling Remove Data Profiling Remove Exploratory Data Analysis
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Capital One’s data-centric solutions to banking business challenges

Snorkel AI

Model-ready data refers to a feature library. For example, where verified data is present, the latencies are quantified. It enables users to aggregate, compute, and transform data in some scripted way, thereby promoting feature engineering, innovation, and reuse of data. It is essentially a Python library.

article thumbnail

Capital One’s data-centric solutions to banking business challenges

Snorkel AI

Model-ready data refers to a feature library. For example, where verified data is present, the latencies are quantified. It enables users to aggregate, compute, and transform data in some scripted way, thereby promoting feature engineering, innovation, and reuse of data. It is essentially a Python library.