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 Machine learning: Machine learning algorithms are
trained on data to detect patterns and similarities. Once
trained, these models can make predictions or decisions
based on new data. For instance, a machine learning
model can be trained to recognise patterns in customer

behaviour and predict future purchasing habits.

ethical minds fact bits
Some patterns are
fractals, meaning if
Companies can use patterns to figure out
exactly how to make us buy things we you zoom in on a small
might not really need. This is an ethical part, it looks exactly
concern because it can trick people into like the whole thing.
spending money for the company's benefit
instead of their own.

OBSERVATIONS AND CONCLUSION

Observations mean looking at data to find patterns, trends or key details without making guesses.
It’s about recording what you see or measure. For example, if you notice, “The plant that was
placed in the dark closet has yellow, wilted leaves and hasn't grown in height,” you’re observing
the condition of the plant. A conclusion is what you figure out or decide after looking at your
observations. It’s your understanding of what the data means. From the observation, your
conclusion could be, “Plants require sunlight to produce energy and grow healthily.”

Making Observations from Data (What did you see?)

Here are some methods to help you make clear observations:

 Identify key findings: Look for the most important numbers, trends or relationships in the
data. For example, you might notice that sales are highest in the summer months.
 Look for repeating patterns: Check if there are any repeated themes or groupings. For
example, you might find that people tend to buy certain items together frequently.

 Note irregularities: Pay attention to anything that stands out as unusual or unexpected in your
data. For example, if one day shows a sudden drop in website traffic, it could be something
worth investigating.
 Use visuals: Graphs and charts can help you see patterns that might be hidden in the raw
data. They make it easier to spot trends, like changes in sales or temperature over time.

Drawing Simple Conclusions (What does it mean?)

Here are some methods to help you make simple conclusions:
 Answering the question: A conclusion provides the answer to the question we were investigating
through the data. For example, students who study more tend to score higher on tests.

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