Page 24 - Ai Robogenius

Make bar graphs to compare one pair of information below (you can pick one):
Age and Favourite Hobby

Place they live and BMI group

Height and Weight

This activity will help you practice how to collect correct data, organise it, find
important information and show it in pictures that everyone can understand easily.
It will also show you how data can help answer questions and make decisions in
everyday life.

Types of AI Techniques

Various types of AI techniques can be chosen according to project requirements. The significant
techniques are:

Supervised Learning: In this technique, the data sets are labelled. For example, to determine
whether an email is spam, a model is trained on a dataset of labelled emails (both spam and
non-spam) to learn how to classify new and unseen emails.

Unsupervised Learning: Unsupervised learning occurs when a computer identifies patterns in
data independently to discover hidden relationships. For example, we provide computer images
of cats and dogs without labelling them and the computer identifies them by recognising features

such as their ears, fur, etc.
Reinforcement Learning: In this technique, the model learns from feedback provided in the form

of rewards or penalties. For example, consider a game where a child needs to throw a ball into a
basket. In this scenario, the child acts as the agent and learns that when the ball successfully goes
into the basket, they earn a point. Conversely, a negative score is recorded if the ball misses the

basket. Through this process, the child improves their performance and learns to earn points by
successfully putting the ball in the basket.

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