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WorksheetsGrade5_Unit3_Lesson3
Total questions: 10
Worksheet time: 5mins
humans train the machines by giving them data. , this machine learning type is :
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Most answers in supervised learning are in the form of :
to be or
not to be
Yes / No
If , Else
The more images you store in the machine with labels , the results will be
Wrong
Good
Accurate
humans do not train the machines , The pictures do not have labels on them.
Supervised Learning
Unsupervised Learning
Reinforcement Learning
The machine uses algorithms to separate objects based on similarities and differences. It then put all similar objects into clusters.
Unsupervised Learning
Reinforcement Learning
Supervised Learning
You can also train a computer to recognise and classify similar objects based on shape, colour, size or many other properties.
Unsupervised Learning
Reinforcement Learning
Supervised Learning
humans do not train the machines. The model learns as it goes using trial and error.
Reinforcement Learning
Unsupervised Learning
Unsupervised Learning
The two main ways a machine (computer) can collect data except
Input from sensors
Input from people
input from machine
Machines can use many types of data to learn. Some examples of data are except one which is wrong
Numbers
Text
Images
Audio
code
AI machines have difficult to understand , like humans do
See
Move
Talk
Emotions
