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 section that can understand and break code and analyze data. In addition, safety measures need to be taken seriously

Benefits

↳Reduce traffic congestion from time to time
↳Accelerate travel from one destination to destination
↳Reducing environmental pollution
↳Encourage science, mathematics, engineering and technology learning
↳Provides opportunities to demonstrate the capabilities and expertise of the learning outcomes obtained.
↳Pricing is yet to be determined but the skills in this technology are scaled up.

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