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Questions and Answers
How does supervised learning improve?
How does supervised learning improve?
- By predicting output from unseen input data
- Through iterations using training dataset (correct)
- By using unsupervised learning techniques
- By classifying massive data
What is the main characteristic of supervised learning?
What is the main characteristic of supervised learning?
- The machine learns under the guidance of labeled data (correct)
- The machine learns without any guidance
- The machine learns only from GPS information
- The machine learns from past traffic data
What makes classifying massive data with supervised learning difficult?
What makes classifying massive data with supervised learning difficult?
- Lack of GPS information
- Given samples of input and output data
- The need for labeled data (correct)
- Using unsupervised learning
What is required for supervised learning to make predictions?
What is required for supervised learning to make predictions?
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According to Arthur Samuel, what did he conclude about a computer's ability in checkers?
According to Arthur Samuel, what did he conclude about a computer's ability in checkers?
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What is the process of gaining knowledge or skill through study, experience, or being taught?
What is the process of gaining knowledge or skill through study, experience, or being taught?
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What is the process of identifying objects, persons, places, digital images, etc. from visual data?
What is the process of identifying objects, persons, places, digital images, etc. from visual data?
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What is the study of computer algorithms that improve automatically through experience?
What is the study of computer algorithms that improve automatically through experience?
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What is the process of converting voice instructions into text known as?
What is the process of converting voice instructions into text known as?
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What does ML stand for in relation to emails filtering system?
What does ML stand for in relation to emails filtering system?
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