Page 45 - Ai V2.0 Flipbook C8
P. 45
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.
Task
21 st Century #Creativity
Skills #Social Interaction
Case: Substantial Electricity Bill (Continued…)
Part 1: Collect the following information from every student:
• Name
• Number of electrical appliances used daily at home
• Average number of hours electricity is used at home daily
• How often lights and fans are left on unnecessarily at home
• Is the student responsible at school? (Yes/No)
• Is the student responsible at home? (Yes/No)
Part 2: Group the students into these categories:
• Responsible Both at School and Home
• Responsible at School Only
• Responsible at Home Only
• Not Responsible at Either
Create Charts:
• Pie Chart: For Responsibility Categories
• Bar Graph: For Student Name vs Electricity Usage Hours
• Column Graph: For Number of Appliances vs Responsibility
Stages of AI Project Cycle 43

