Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data
science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will
lead to better overall system behavior than the use of traditional analytics approaches. The book is `meta' to analytics,
covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The
book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics,
business and finance.
Inn addition, the analytics within can be applied to predictive algorithms for everyone
from police departments to sports analysts.