Machine Learning is a sub-category of Artificial Intelligence that enables a system to utilize data to improve performance over time without the requirement of programming the improvements.
Interzoid utilizes Machine Learning algorithms to analyze and understand patterns in the source data, and then applies various rules that are formulated using knowledge bases, noise reduction algorithms, various heuristics, sound-alikes, spelling analysis, data classification, pattern matching, and utilizing multiple approaches to Contextual Machine Learning algorithms. Sample datasets help our system to get smarter over time.