Careful cross-validation of algorithmic results to ensure accuracy, reliability, and organizational value is being delivered
Mean Squared Error, AUC, ROC, Precision and Recall, Confusion Matrix, F1 Score
Categories:
Case Studies
IoT Machine Learning Modeling for Product Development
A hospitality technology disruptor was developing a new sensor suite to detect when a guest was smoking inside a property and distinguish it from approved activities such as cooking. They engaged Mosaic to build time series classification models to identify and alert on smoking events from the streaming sensor data.
