Although machine learning systems have been around since the 1950s, the past decade has seen an unprecedented surge in their adoption. This rise in artificial intelligence can be attributed to an explosion in the generation of digital data, improvements in algorithms, and substantial advancements in computing hardware. As building these systems becomes increasingly routine, they are now used on nearly every technological platform we use daily and underlie a range of functions, including speech transcription, recommender systems, and image recognition.