Translating sensor input into expertise

A computing apparatus, the computing apparatus comprising:

• a processor;
• and
• a memory storing instructions that, when executed by the processor, configure the apparatus to:
• receive sensor input data from a plurality of sensors and machine insights, the machine insights comprising one or more states, with a trainer, the trainer generating a selection signal;
• operate a selector with the selection signal to select a classification scheme, the classification scheme specifying a classifier;
• transform the machine insights and the sensor input data into training data utilizing the classifier;
• transform the sensor input data into a class prediction with the classifier;
• apply the machine insights and the sensor input data to a machine learner to generate a machine learner prediction;
• and
• compare the class prediction and the machine learner prediction with a tester and altering a machine state of one or more machines if the difference between the class prediction and the machine learner prediction is less than a threshold value and updating the machine learner if the difference between the class prediction and the machine learner prediction is not less than the threshold value.