Robotics & Artificial Intelligence
Assertion (A): In AI Project Cycle, the modelling means developing algorithms that can analyse and interpret data to make decisions or predictions.
Reason (R): The goal of modelling is to build systems that can perform tasks such as learning, reasoning and solving problems.
Based on the above assertion and reasoning, pick an appropriate statement from the options given below:
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true and R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
- Both A and R are false.
AI Concepts
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Answer
Both A and R are true and R is the correct explanation of A.
Reason — In AI, modelling involves developing algorithms that can analyse and interpret data to make decisions or predictions. The goal is to build systems that can perform tasks such as learning, reasoning and solving problems, which correctly explains why modelling is essential in the AI Project Cycle.
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Related Questions
Fill in the blanks:
- The first step in the AI project cycle is project ……………, where the problem is identified and defined.
- Data …………… involves creating and training machine learning models as part of the AI Project Cycle.
- …………… is the process of gathering information that an AI system needs to function.
- …………… data is well-organised, typically found in databases or spreadsheets.
- …………… data represents descriptive information, usually collected through interviews, surveys or observations.
- …………… graph is a technique to visualise data that uses either horizontal or vertical bars.
- In a data visualisation, …………… chart is the most suitable for showing the change in values over time.
- …………… plot is a two-dimensional data visualisation that uses dots to represent the values for two different variables represented by points.
- …………… map portrays the geographic pattern of a particular subject matter in a geographic area.
- In a …………… graph, a node represents an individual element or entity, such as a person, computer or organisation, connected by the edges.
Name the type of data visualisation technique used:
- to depict numeric data with one variable
- to depict numeric data with two variables
- to depict the chronological order of events
- to use colours for plotting values
Assertion (A): Data acquisition is crucial for an AI system to function effectively.
Reason (R): Without the correct data, an AI system cannot make accurate predictions or decisions.
Based on the above assertion and reasoning, pick an appropriate statement from the options given below:
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true and R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
- Both A and R are false.
Structured data is well-organised and easily searchable data, typically found in databases or spreadsheets (such as Microsoft Excel). This data is arranged in rows and columns, making it straightforward to input, store, retrieve, and analyse. For instance, your school's timetable is a form of structured data, with rows representing each class and columns containing details like subject, teacher, and time. This arrangement facilitates efficient data management and retrieval.
Based on the above paragraph, answer the following questions:
(a) What is structured data?
- Data that has no specific format
- Data that is well-organised and easily searchable
- Data that cannot be stored in databases
- Data that is difficult to retrieve and analyse
(b) Where is structured data typically found?
- In random text files
- In handwritten notes
- In databases or spreadsheets
- In video files
(c) What is the purpose of arranging data in rows and columns?
- To facilitate efficient data management and retrieval
- To make it easier to delete
- To make it look visually appealing
- To prevent data from being edited
(d) How is structured data usually arranged?
- In paragraphs and sentences
- In a timeline format
- In rows and columns
- In graphical format