District Data Labs - Visual Diagnostics for More Informed Machine Learning: Part 1

How could they see anything but the shadows if they were never allowed to move their heads? Python and high level libraries like Scikit-learn, TensorFlow, NLTK, PyBrain, Theano, and MLPY have made machine learning accessible to a broad programming community that might never have found it otherwise. With the democratization of these tools, there is now a large, and growing, population of machine learning practitioners who are primarily self-taught. At the same time, the stakes of machine learning have never been higher; predictive tools are driving decision-making in every sector, from business, art, and engineering to education, law, and defense. How do we ensure our predictions are valid and robust in a time when these few lines of Python can instantiate and fit a model?