4. Acquiring Data, Processing, and Interpreting Data
Data serves as the foundation for Artificial Intelligence, functioning similarly to how human brains utilize sensory information for decision-making. The chapter elaborates on the three main processes involving data: acquisition, processing, and interpretation. Understanding these processes is critical for the development of AI models and effectively utilizing technology to solve real-world problems.
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What we have learnt
- Data can be structured or unstructured and is essential for AI systems.
- Data acquisition involves collecting data from primary and secondary sources through manual or automatic methods.
- Processing data is crucial for ensuring quality and usability, involving cleaning and transforming raw data.
- Data interpretation is the act of making sense of the cleaned data through statistical analysis and visualization.
Key Concepts
- -- Data
- A collection of facts, statistics, or information stored for analysis, which can be structured or unstructured.
- -- Data Acquisition
- The process of collecting data from various primary and secondary sources.
- -- Data Processing
- The act of cleaning, transforming, integrating, and reducing data to make it usable.
- -- Data Interpretation
- The process of making sense of processed data by identifying patterns and trends using statistical tools and visualizations.
- -- AI Models
- Systems that utilize data for learning and decision-making purposes.
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