Human in the Loop: Interpretable Machine Learning

As machine learning tools become more powerful, the importance of interpreting them is more important than ever. Understanding why your model gives its answer is critical in trusting it, diagnosing problems and making improvements. Computers are efficient at spotting patterns, but with a human in the loop, we can interpret the patterns better. We will highlight tools in the Wolfram Language for gaining insight into your machine learning models.