MACHINE LEARNING DEVICE

Provided is a machine learning device capable of causing idling of a tool, and of calculating oscillation conditions that realize favorable evaluation data of finished workpieces. The machine learning device that learns oscillation conditions of a machine tool that performs oscillation cutting while oscillating a tool and a workpiece relative to each other is provided with a set conditions acquisition unit that acquires set conditions for the oscillation cutting, a label acquisition unit that acquires evaluation data of finished workpieces by the machine tool as a label, and a learning unit that performs supervised learning using a set of the set conditions and the label as training data, the learning unit being provided with a learning model for training oscillation conditions that optimize the evaluation data of the finished workpieces.