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AI•Machine Learning

Machine Learning Data

Up to

80% of a Machine Learning 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 Machine Learning, data is collections of facts:

Type

Examples

Numbers

Prices. Dates.

Measurements

Size. Height. Weight.

Words

Names and Places.

Observations

Counting Cars.

Descriptions

It is cold.

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ML Terminology

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Data Clusters