Robotics & Artificial Intelligence
What are the different types of sources of data from where we can collect reliable and authentic datasets?
Answer
Different reliable and authentic sources of data for collecting datasets are:
- Databases – Organised collections of stored data (e.g., school records) from which correct and consistent data can be retrieved easily.
- APIs (Application Programming Interfaces) – Trusted applications/websites share data through APIs (e.g., online bookstore APIs for book reviews and details).
- Web Scraping – Using programs to collect information from authentic websites (e.g., book descriptions, author information), when permitted.
- Surveys and Questionnaires – Data collected directly from users (e.g., students’ favourite genres and reading habits), making it relevant and dependable.
- Sensors and IoT Devices – Real-time data gathered through sensors (e.g., book movement, environmental conditions in a library), which is accurate and measurable.
- Kaggle Platform – A well-known platform that provides datasets from many domains and supports downloading datasets for AI/ML projects.
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