How humans and machines should work together to solve problems is one of the most important questions in technology. However, in machine learning, the accuracy of innovative algorithms often end up with the most attention. But to build the most accurate model quickly you also need clean, relevant, correctly-labeled data for your system to train on. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation, sampling, and even using ML systems to help automate the process.
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