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Human and Machine Learning

The combination of human and machine learning will improve decision making, increasing productivity but expertise is needed How it works? The resulting prototype requires research and development. The prototype will go through several processes and tests before use. Data will be stored and will be updated gradually. The human role observes the pattern of calculations and analyzes the data. Pattern recognition and system design Data science will be tested and analyzed in the system to be adopted. Take into account the damage and correction automatically by software roles specially designed by a computer architect. Coordination between humans and machines For example the development of drones is one of the features without driver but requires remote control to work. Functions are designed accordingly for the agricultural sector such as poisoning and nourishing crops Expanding the role of aviation as affordable air transport. The skills required today are architects in the computing s...