Page 31 - Ai Robogenius

4. What is the first step in the AI project cycle?

(i) Data Acquisition (ii) Problem Scoping

(iii) Modelling (iv) Evaluation

5. Which data visualisation tool is NOT mentioned in the chapter?
(i) Microsoft Excel (iv) Tableau Public

(iii) Microsoft Power BI (iv) MATLAB

B. Write ’T’ for true and ’F’ for false.

1. In data acquisition, the model is tested to check its performance.

2. Secondary data is data that has already been collected, processed and published
by other individuals.

3. Different problems require different types of data.

4. Data exploration is the foundation of a successful AI project.

5. Tableau Public is a free, widely used software that creates interactive data
visualisations and supports very large datasets.

C. Fill in the blanks using the given hints:
1. data is original data collected directly from the source

for the first time. Hints
Modelling
2. refers to sounds recorded through microphones or
Problem
other recording devices. statement

3. The template helps us to put together all the key points Data acquisition
into a single template for future reference. Audio data
Primary
4. The fourth step in the AI project cycle is called .

5. ensures the AI model has a reliable and representative
dataset that reflects real-world conditions.

COMPETENCY-BASED QUESTIONS

1. Ria trains an AI model using labelled emails to identify spam. Kabir’s program studies animal
pictures without labels and groups them by similarity. Tara builds a game where a robot
learns by getting rewards or penalties. Which different AI techniques are used by Ria, Kabir
and Tara?
2. During a school project, Naman collects data on students’ study habits and exam scores.
He then uses an AI program to find patterns and predict how much study time might lead to
better results. Which Artificial Intelligence process is Naman using to train algorithms that can
learn from data and make decisions or predictions?

Stages of AI Project Cycle
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