Page 143 - Robotics and AI class 10
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B. Fill in the blanks.
1. ………………………. can be used to train machines to learn from data.
2. ………………………. and information are the foundational elements that drive decision-making, innovation, and progress in
today's digital age.
3. The ………………………. in machines is defined by learning algorithms which are objective and are programmed to be
based on consequence and factual information.
4. ………………………. is inspired by the functionality of our brain cells called neurons which led to the concept of artificial
neural networks.
5. ………………………. is a method of collecting data by watching facts as they occur.
C. State whether these statements are true or false.
1. Data plays an important part of an AI project as it creates the base on which the AI project is built. ………………
2. The decision making in machines is defined by learning algorithms. ………………
3. In uber cab service, pricing and availability is decided by AI. ………………
4. The traditional machine learning algorithms stop improving after a certain saturation point. ………………
5. The Decision Making in Humans is logical and is based on sentiment, feeling, belief, etc. ………………
6. Our heart plays a very important role in making decisions. ………………
7. AI is a technique of getting machines to work and behave like humans. ………………
8. Humans is/are critical for machine learning to work. ………………
9. Data Analysis is the first step in Machine Learning. ………………
10. Data is not needed to make machines intelligent. ………………
D. Match the following:
1. Autonomous System a. Computer Vision
2. Object Classification b. Data acquisition
3. Machine Learning c. Self Driven Cars
4. Observations d. Steps in ML
5. Model Selection e. Application of AI
SECTION B (Subjective Type Questions)
A. Short answer type questions:
1. Explain in short how we make decisions.
Ans. We make decisions every day, starting from saying to doing, consciously or unconsciously. Everything we do is a result
of our decisions. The choices that we get may be big or small, but there's no easy formula for the right decision. We
form an opinion and choose the action based on reasons, our past experiences and availability of information.
2. How do machines become intelligent?
Ans. Machines become intelligent with the algorithms that are fed into them by developers. They are trained with
information that makes them intelligent to achieve the desired output. An intelligent machine has the ability to monitor
its environment and then adjust its actions based on what it senses.
Decision Making in Machines/Computers 141

