MS AI How AI Learns: Training Data Riddles

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Riddles about how AI learns from data.

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MS AI How AI Learns: Training Data Riddles


MS AI How AI Learns: Training Data RiddlesVersion en ligne Riddles about how AI learns from data. par Tech for Everyone 1 I am the thousands of pictures of apples and pears, That teach the computer so it is prepared. I am the examples the system must see, To learn what a "cat" or a "dog" ought to be. If I am missing, the model is blind, I am the study material for the digital mind. Hints 1 Not the model itself 2 Used to train models 3 Found in datasets 2 I am the bad habit that happens when data is skewed, Causing the system to act unfair or rude. If you only show faces of a specific kind, I am the error that you will soon find. I happen when the examples are not quite complete, Leaving some people out of the driver's seat. Hints 1 Affects fairness 2 Result of unrepresentative data 3 Systematic error 3 I am the process of guessing and checking the score, Practicing examples to learn more and more. I don't understand meaning, but I find the link, Between the patterns and what you might think. I adjust my own rules when I get answers wrong, To get better at predictions all the day long. Hints 1 Core of AI training 2 Not fully understanding 3 It improves with data 4 I am the hardware that acts as the "eyes" or the "ears," Capturing the world so the data appears. I might be a camera on a self-driving car, Or a mic detecting a voice from afar. I turn real-world signals into digital code, So the AI can travel the information road. Hints 1 Seen on devices and cars 2 Input devices for AI 3 Capture signals 5 I am the special tag that gives the answer away, Telling the AI, "This is a horse eating hay." I help the computer know right from wrong, So it knows where the different patterns belong. Without me, the training would be just a guess, And the sorting of photos would be a big mess. Hints 1 Used for supervision 2 Attached to data 3 Indicator of correct class 6 I happen after the training is done, To make sure the system is ready to run. You show me new data I’ve not seen before, To see if my accuracy is high on the score. If I fail at this step, I must go back to school, Because using an untested model is foolish, not cool. Hints 1 Checks model performance 2 Occurs after training 3 Evaluate on new data

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MS AI How AI Learns: Training Data Riddles

Devinette

À propos de cette activité

Créé par

Téléchargez la version pour jouer sur papier

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MS AI How AI Learns: Training Data RiddlesVersion en ligne

par Tech for Everyone

I am the thousands of pictures of apples and pears, That teach the computer so it is prepared. I am the examples the system must see, To learn what a "cat" or a "dog" ought to be. If I am missing, the model is blind, I am the study material for the digital mind.

Hints

I am the bad habit that happens when data is skewed, Causing the system to act unfair or rude. If you only show faces of a specific kind, I am the error that you will soon find. I happen when the examples are not quite complete, Leaving some people out of the driver's seat.

Hints

I am the process of guessing and checking the score, Practicing examples to learn more and more. I don't understand meaning, but I find the link, Between the patterns and what you might think. I adjust my own rules when I get answers wrong, To get better at predictions all the day long.

Hints

I am the hardware that acts as the "eyes" or the "ears," Capturing the world so the data appears. I might be a camera on a self-driving car, Or a mic detecting a voice from afar. I turn real-world signals into digital code, So the AI can travel the information road.

Hints

I am the special tag that gives the answer away, Telling the AI, "This is a horse eating hay." I help the computer know right from wrong, So it knows where the different patterns belong. Without me, the training would be just a guess, And the sorting of photos would be a big mess.

Hints

I happen after the training is done, To make sure the system is ready to run. You show me new data I’ve not seen before, To see if my accuracy is high on the score. If I fail at this step, I must go back to school, Because using an untested model is foolish, not cool.

Hints