It all Boils Down to the Training Data
▻https://hackernoon.com/it-all-boils-down-to-the-training-data-ae9b17345317?source=rss----3a8144
ML Training Data PipelineIs your model not performing well? Try digging into your data. Instead of getting marginal improvements in performance by searching for state-of-the-art models, drastically improve your model’s accuracy by improving the quality of your data.Since most data scientists are adapting off-the-shelf algorithms to specific business applications, one of the most difficult challenges that data scientists face today is creating a continuous workflow that consistently feeds high-quality training data into their algorithms. At the same time, your model is learning and you want to be able to leverage this intelligent model to label the rest of your data set. Building the infrastructure to do annotation that integrates with your model and managing the workflow is the most (...)
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