Match the following data types with their descriptions: Unlabeled data | Data consisting of input features without any associated labels or target variables. Labeled data | Data wh... Match the following data types with their descriptions: Unlabeled data | Data consisting of input features without any associated labels or target variables. Labeled data | Data where each instance is paired with a label representing the desired output. Structured data | Data organized in a predefined manner, typically in tables or databases. Unstructured data | Data lacking a predefined structure, such as text or images.
Understand the Problem
The question asks to match each given data type (Unlabeled data, Labeled data, Structured data, Unstructured data) with its corresponding definition. It's a matching exercise to test understanding of basic data science concepts.
Answer
* **Unlabeled data**: Input features without labels. * **Labeled data**: Data paired with a label. * **Structured data**: Data in tables or databases. * **Unstructured data**: Data lacking a predefined structure.
Here are the matches:
- Unlabeled data: Data consisting of input features without any associated labels or target variables.
- Labeled data: Data where each instance is paired with a label representing the desired output.
- Structured data: Data organized in a predefined manner, typically in tables or databases.
- Unstructured data: Data lacking a predefined structure, such as text or images.
Answer for screen readers
Here are the matches:
- Unlabeled data: Data consisting of input features without any associated labels or target variables.
- Labeled data: Data where each instance is paired with a label representing the desired output.
- Structured data: Data organized in a predefined manner, typically in tables or databases.
- Unstructured data: Data lacking a predefined structure, such as text or images.
More Information
These data types are fundamental concepts in machine learning and data analysis, dictating the approach to model building and the types of algorithms that can be applied.
Tips
A common mistake is confusing structured and labeled data. Labeled data refers to whether the data has a target variable, while structured data refers to the format in which the data is stored.
Sources
- Unlabeled Data in Machine Learning: Overview with Examples - labelyourdata.com
- What is Labeled Data? - DataCamp - datacamp.com
- What is the difference between labeled and unlabeled data? [closed] - stackoverflow.com
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