Review: H2O.ai Driverless AI automates machine learning and deep learning

Machine learning, and especially deep learning, have turned out to be incredibly useful in the right hands, as well as incredibly demanding of computer hardware. The boom in availability of high-end GPGPUs (general purpose graphics processing units), FPGAs (field-programmable gate arrays), and custom chips such as Google's Tensor Processing Unit (TPU) isn't an accident, nor is their appearance on cloud services. There's the rub--or is it? There is certainly a perceived dearth of qualified data scientists and machine learning programmers. Whether there's a real lack or not depends on whether the typical corporate hiring process for data scientists and developers makes sense.