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Flashcards

Machine learning

Natasha White ICT Year 9 Inglês 9 flashcards

Flashcards do conjunto (9)

  1. 1What is the definition of machine learning?Machine learning is a way of making the computer solve a problem without needing to write an algorithm.
  2. 2What are the different types of training for machine learning?- Supervised training
    - Unsupervised training
    - Reinforcement learning
    - Deep learning
  3. 3What is supervised training?Supervised training is when the computer is given a lot of data that has already been organized and labelled.
  4. 4What is unsupervised training?Unsupervised training is when the computer is given a lot of data that is not sorted or organized.
  5. 5What is reinforcement learning?Reinforcement learning is when the computer starts by producing random or undirected signals or actions.
  6. 6What is deep learning?Deep learning combines many methods into a highly complex learning process. It uses a computer structure called a neural network.
  7. 7What are the advantages of machine learning?- You don't need to tell the computer how to solve the problem.
    - You give the computer a goal and it will work out its own solution.
  8. 8What are the disadvantages of machine learning?- The computer needs a lot of data.
    - The data must be diverse and vary.
    - It can go wrong.
  9. 9What are some uses of machine learning?- diagnosing illnesses
    - weather forecasting
    - understanding speech
    - spotting computer viruses

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Year 9 ICT (Computational thinking) FlashCards sobre Machine learning, criado por Natasha White em 07-06-2021.
Criado por
Natasha White
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