Using Pipelines to Lower Barriers To Entry in Machine Learning

Many people are keenly interested in machine learning, and with good reason. Machine learning is applicable to a wide variety domains, including engineering, education, healthcare, and government. The broad applicability of machine learning is a double edged sword: Although an ever increasing pool of people want to use machine learning, a decreasing portion of them understand the mathematics and computer science that are it's foundation. Just because people don't natively speak the language of machine learning doesn't mean that they're not going to try to apply machine learning to their problems. We should provide tools to the fledgling machine learning practitioner that allow them to understand what they're asking the system to do.