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DATA SCIENCE

Data science is the field that deals with collecting, analysing and interpreting large sets of data.
It helps machines learn patterns from data and make decisions or predictions. Data may include
numbers, text, images, videos or other types of information that can be stored and examined. It
combines key areas such as mathematics, statistics, computer science and domain knowledge to
recognise patterns within data. These patterns help both humans and machines make informed
decisions and address real-world problems effectively.

Data science function of AI is enabled by:
 Data collection and preparation: Raw data is gathered from different sources and organised

carefully so that it becomes accurate and suitable for building useful models.
 Model training: AI systems are provided with prepared data to recognise patterns and make
reliable predictions.

 Continuous improvement: Data scientists repeatedly examine and refine models using new
data to enhance accuracy, a process called feedback loops.

Ask
AGENT
OrangeAI
Why should a separate test dataset be used to evaluate the model, instead of the training data?
Study

Applications of Data Science

Data science can be used for the following applications:

 Transportation experience and logistics: AI uses GPS tracking,
traffic updates and weather forecasts to determine the fastest and
most efficient delivery routes. Sensors in vehicles also provide real-
time information how well the vehicle is running, helping to identify

when maintenance is required and preventing breakdowns.

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