An optimal timing to perform dressing on a grindstone is detected easily. A machine learning device includes: an input data acquisition unit that acquires input data including an arbitrary grinding condition for an arbitrary work material in a grinding process of an arbitrary grinding machine and grindstone information related to an arbitrary grindstone including at least a degree of necessity of dressing process indicating a degree of necessity of dressing before a grinding process is performed under the grinding condition; a label acquisition unit that acquires label data indicating the degree of necessity of dressing process of the grindstone after the grinding process is performed under the grinding condition included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquisition unit and the label data acquired by the label acquisition unit, and generates a learned model.