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SECTION B (Subjective Type Questions)
A. Short answer type questions.
1. Define Machine Learning. Also, give two applications of Machine Learning in our daily lives.
Ans: ML is a subset of Artificial Intelligence that enables machines to improve at tasks with experience (data). The goal
of Machine Learning is to enable machines to learn by themselves using the provided data and make accurate
predictions and decisions.
Machine Learning is used in Snapchat Filters, NETFLIX recommendation system.
2. Differentiate between Artificial Intelligence, Machine Learning, and Deep Learning
Ans:
Artificial Intelligence Machine Learning Deep Learning
The goal of AI is to enable The goal of ML is to enable The goal of deep learning is to solve
the machine to think without the machine to learn from past complex problems as the human
any human intervention. experiences. brain does, using various algorithms.
It requires a huge amount of It can work with less data It requires a huge amount of data
data to work. compared to deep learning and AI. compared to ML.
3. Explain supervised learning. Also, name two algorithms that use supervised learning and two real-world applications
of supervised learning.
Ans: In supervised learning, the machine needs external supervision to learn from data. The supervised learning models are
trained using labelled data. Regression and classification are the two main algorithms that use supervised machine
learning. In the real world, supervised learning can be used for risk assessment and fraud detection.
4. The goal of reinforcement machine learning is to maximise rewards. Explain the statement.
Ans: In reinforcement learning, the AI machine/model faces a game-like situation. The machine uses trial and error to
come up with a solution to the problem. The machine gets either rewards or penalties for the actions it performs.
It’s up to the model to figure out how to perform the task to maximize the reward, starting from totally random
trials and finishing with sophisticated tactics and human-like skills.
5. How is AI being integrated into various aspects of children's lives to enhance their learning experiences, creativity,
and interaction?
Ans: AI is becoming more accessible for children, offering improved learning experiences, creativity stimulation, and
interactive engagement. The various examples include educational apps adapting to learning styles, AI-powered
storytelling platforms, simplified AI programming tools for coding introduction, voice-activated AI assistants aiding
homework, and AI in education to personalize learning and virtual tutoring. Additionally, AI-powered toys foster
interactive play, and AI tools encourage artistic creativity using machine learning algorithms.
6. How can kids use voice-activated AI assistants like Amazon Alexa and Google Assistant?
Ans: Kids can ask questions, play games, and receive assistance with their homework using voice-activated AI assistants
like Amazon Alexa and Google Assistant.
B. Long answer type questions.
1. Describe four popular applications of AI.
Ans: i. Virtual Assistants—Alexa, Siri, OK Google. They set reminders, make calls, launch games, open websites, tell
you about the weather, date and time, greetings, news, etc.
ii. Self-Driving Cars—These autonomous vehicles combine AI software, sensors, real-time cameras to ensure safe
decisions on the road.
iii. Spam filters—These use AI to detect unwanted, and virus-infested emails (called spam) and stop them from
getting into email inboxes.
iv. Facial Recognition—Social media apps like Facebook and Snapchat use AI for tagging people and face filters.
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