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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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