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Different ways a machine learns

Different ways a machine learns

  • Unsupervised learning. This approach is ideal for analysing untagged data to find general similarities and patterns. 
  • Supervised learning. A computer algorithm is trained on input data to create the desired output.
  • Reinforcement learning. The program uses an Iterative approach to gather feedback, then compares the data and suggests an optimal outcome. 

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Artificial intelligence  (AI) is often self-taught

Artificial intelligence (AI) is often self-taught

AI works with a simple set of instructions that creates many rules and strategies.

AI is used, for example, to help doctors diagnose patients, pilots fly commercial aircraft, and help predict traffic.

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Transparency is needed with self-directed Ai

Each technique has its strengths and weaknesses, but when combined, researchers can build complex AI systems.

However, these models become more self-directed, making it hard for computer scientists to determine how these algorithms arrive at their solutions.

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