Feature, An individual characteristic or property used to describe data (e.g. Color, Shape, Size), Label, The final category or decision we want the AI model to predict (e.g. "Fish" or "Not Fish"), Training Data, The collection of labeled examples given to an AI so it can learn patterns, Supervised Learning, Training an AI using pre-labeled data where the correct answers are already provided, Unsupervised Learning, Letting an AI algorithm find hidden patterns and group unlabeled data on its own, Classification, The process of separating data into distinct groups or categories based on features

Machine Learning Terms

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Types of machine learning & problems
Types of machine learning & problems
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Match. Learning
Match. Learning
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Must Know Terms Categorizing (P4-P6)
Must Know Terms Categorizing (P4-P6)
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Machine Learning Activity 1
Machine Learning Activity 1
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Machine Learning- Activity 2
Machine Learning- Activity 2
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随堂测验
Levels of Classification
Levels of Classification
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ANIMAL CLASSIFICATION
ANIMAL CLASSIFICATION
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Understanding AI
Understanding AI
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