Field-programmable gate array (FPGA) technology is eminently applicable to a large class of computing problems in general and machine learning in particular. Compared with other technologies including central processing units, digital signal processors, graphics processing units and application specific integrated circuits, FPGAs offer unique enhancement, Parallelism, Integration and Customisation (EPIC) opportunities, leading to improved latency, Size, Weight, Power and Cost (SWaP-C). This white paper describes the benefits of FPGAs for machine learning at the edge and is intended for non-specialists.