Karteikarten
Machine learning
Karten in diesem Stapel (9)
- 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.
- 2What are the different types of training for machine learning?- Supervised training
- Unsupervised training
- Reinforcement learning
- Deep learning - 3What is supervised training?Supervised training is when the computer is given a lot of data that has already been organized and labelled.
- 4What is unsupervised training?Unsupervised training is when the computer is given a lot of data that is not sorted or organized.
- 5What is reinforcement learning?Reinforcement learning is when the computer starts by producing random or undirected signals or actions.
- 6What is deep learning?Deep learning combines many methods into a highly complex learning process. It uses a computer structure called a neural network.
- 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. - 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. - 9What are some uses of machine learning?- diagnosing illnesses
- weather forecasting
- understanding speech
- spotting computer viruses
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- Beschreibung
- Year 9 ICT (Computational thinking) Karteikarten am Machine learning, erstellt von Natasha White am 07/06/2021.
- Erstellt von
- Natasha White
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