AI – Collecting Data
Up to 80% of an Artificial Intelligence project is about Collecting Data:
- What data is Required?
- What data is Available?
- How to Select the data?
- How to Collect the data?
- How to Clean the data?
- How to Prepare the data?
- How to Use the data?
What is Data?
Data can be many things. With Artificial Intelligence it must be a collection of facts:
| Type | Examples |
|---|---|
| Numbers | Prices. Dates. |
| Measurements | Size. Height. Weight. |
| Words | Names and Places. |
| Observations | Counting Cars. |
| Descriptions | It is cold. |
Intelligence Needs Data
Human intelligence needs data:
A real estate broker needs data about sold houses to estimate prices.
Artificial intelligence needs data:
A computer program also needs data to estimate prices.
Census Data:
A Census is when we collect data for every member of a group.
Here is an interactive analytics dashboard displaying KPIs and different charts base on US Census Finance Data for fiscal year 2019 to 2021.
Read more here.
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