IoT with Machine Learning

Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Machine learning is very useful in IoT since it can be used to learn hidden relationships in the Big Data which flows in the system and used to make real-time complex classifications for taking actions based on them. There are many machine learning packages such as Apache Spark, Mahout, and Weka, each with its advantages and disadvantages. This blog shows how to use the easy-to-use powerful Java Statistical Analysis Tool library (JSAT) for a courier parcel pick up website app integrated with RAPIFIRE. The example illustrates how a user can get the estimated waiting time of a courier parcel pick up based on the GPS position of trucks.