Recommendations to others considering Neuton AutoML:
Take your time to walk through the solution with a support specialist to be 100% knowledgeable of how it works. It's a small time investment that's definitely worth the results. Review collected by and hosted on G2.com.
What problems is Neuton AutoML solving and how is that benefiting you?
"1. Classification of eye disease based on eye examination data. The patient eye data is collected through ocular tonometery, lensmeter examination, physician observation and (optionally) other medical tests. The data is structured in a tabular format and used for predicting the probability of various eye disfunction. The prediction results are then used for medical tests enhancements and development of the recommendation system for the diagnostic equipment.
2. Construction and agricultural machinery malfunction prediction. Sensors collect the data on equipment operation, such as working hours, pace, liquids temperature, pumps pressure, outside temperature, etc. This data is then grouped and concatenated with equipment information, such as make, model, production date, dates from previous service, equipment service details, operator, and the previous malfunction statistics. The resulting table is used for training the machine learning model aimed to predict the probability of different types of equipment failure in the upcoming period." Review collected by and hosted on G2.com.