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Machine Learning @ Teads (part 2)

Stack, production workflow and practice In the The first step [1] is the actual service making predictions. The generated application logs are then used, together with other sources of data (DMPs, etc.) to build training sets [2]. For the training jobs [3], these data sets are randomly split into several partitions that […]