Robotics & Artificial Intelligence
What are the different types of sources of data from where we can collect reliable and authentic datasets?
AI Project Framework
2 Likes
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.
Answered By
1 Like
Related Questions
Write a Python program that performs operations on a list of integers. Your program should do the following:
- Create a list of integers: [2, 4, 6, 9, 5]
- Check and print even numbers.
- Check and print odd numbers.
Discuss any two advantages of visualising motion in a robot design. State any one use of Tinkercad.
Write a Python program to count the number of vowels in a given string. Your program should do the following:
- Define a string.
- Traverse the string and count the vowels (a, e, i, 0, u) using a loop.
- Print the total count of vowels.
Briefly explain the 4Ws of the Artificial Intelligence project cycle.