Machine learning applications rely on data. The first step is to bring together existing data sources and when appropriate, enrich them with them with other data sets. In most cases data needs to be refined and prepared before it’s ready for analytic applications. This series of talks showcase some modern approaches to data integration and the creation and maintenance of data pipelines.
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