Page 46 - Ai V2.0 Flipbook C8
P. 46
After analysing the data, you notice a pattern: students who are not responsible at school
also tend to leave lights and fans on at home.
Answer these questions:
1. How many students are responsible at both school and home?
2. Who uses the most appliances daily?
3. What pattern do you notice between responsibility at school and at home?
4. What suggestions do you have to reduce electricity usage both at school and at home?
Reboot
Match the following:
Column A Column B
1. Zoho Analytics a. Primary Source of Data
2. Kaggle b. Types of Data
3. Surveys c. Data Visualisation Tool
4. Audio, Numerical d. Secondary Source of Data
Modelling
Data Modeling refers to the process of developing decision-making algorithms that are
trained on the dataset gathered during the data acquisition phase, following the problem defined
in the problem-scoping phase. These algorithms learn to detect particular patterns within the
data.
Once the data has been visualised and patterns identified, the focus shifts to building the AI
model by applying these algorithms. This can be achieved either by creating new models or by
leveraging existing AI models.
AI modelling involves creating algorithms called models that are designed to learn from data and
make intelligent decisions or predictions. This process essentially means programming machines
to simulate human thinking and problem-solving abilities. By developing these models, we
enable AI systems to perform tasks that require reasoning, understanding, and adaptability.
AI modelling techniques can be broadly classified into two approaches, namely, rule-based and
learning-based.
44 Touchpad Artificial Intelligence (Ver. 2.0)-VIII

