(29)What is Machine Learning? List down applications and risks associated with Machine Learning?
Answer:
Applications of machine learning:
Most of the artificial intelligence have machine learning ability. Following are some of the examples:
(1)Automated vehicles (self-driving cars),
(2)Drones
(3)Medical Equipment (predictive analysis of an individual getting ill by a disease)
(4)Playing games and predicting outcome of games.
(5)Search engines (such as Google search),
(6)Online assistants (such as Google assistant, siri, alexa etc.),
Risks of machine learning:
Risk of machine learning is similar to that of AI.
(1)Incorrect Data:
- Machine Learning is a type of Artificial Intelligence (AI) that provides computers with the ability to learn without being explicitly programmed.
- Machine learning focuses on the development of computer programs that performs on the basis of data pattern.
- Machine learning and data mining have similar process.
- Example of machine learning includes image or text recognition, google car (driverless car) etc.
Applications of machine learning:
Most of the artificial intelligence have machine learning ability. Following are some of the examples:
(1)Automated vehicles (self-driving cars),
(2)Drones
(3)Medical Equipment (predictive analysis of an individual getting ill by a disease)
(4)Playing games and predicting outcome of games.
(5)Search engines (such as Google search),
(6)Online assistants (such as Google assistant, siri, alexa etc.),
Risks of machine learning:
Risk of machine learning is similar to that of AI.
(1)Incorrect Data:
- Learning for the machine comes from the data it gets. Incorrect data can lead to incorrect conclusions.
- Intelligent machines may start controlling human beings. Intelligent machine carries a security threats.
- Countries are discussing to have a KILL button in all AI capable machines.
- Intelligent machines in long term may kill human skills of thinking. These machines shall not have capability of thinking out of box.
- All data shall be processed in a structured manner, where machines shall provide solution based on their learning over a period of time.