Page 179 - Robotics and AI class 10
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At a Glance
• Project cycle is the steps taken to complete a task from the beginning to its end.
• The different stages of AI Project cycle help us learn the importance of each and every step in designing an AI Project.
• Problem scoping focuses on identifying and understanding problems using 4Ws— Who, What, Where and Why.
• Artificial Intelligence supported solutions are suggested to assist the society and government to achieve the
Sustainable Development Goals.
• To understand step by step how problem scoping is done we use method here, known as 4Ws Problem Canvas.
• The “Who” block helps in analysing the people getting affected directly or indirectly due to it.
• The problem statement template helps us to put together all the key points into a single template for future reference.
• Data acquisition is the process of collecting data required for training the AI project.
• Application programs generate data of their own while working, like data on their servers.
• A system map is a diagrammatic representation of a set of things working together.
• Data Exploration refers to exploring the large data to uncover the patterns or trends needed for the AI project.
• Artificial Intelligence refers to any technique that enables computers to mimic or imitate, develop and demonstrate
human intelligence.
• Linear Regression is the most used regression modelling technique.
• Evaluation is an important step where the AI model is evaluated for its efficiency and accuracy.
Exercise
Solved Questions
SECTION A (Objective Type Questions)
uiz
A. Tick ( ) the correct option.
1. Which of the following refers to “Where” among “4W” Canvas?
a. Stakeholders b. Nature of the problem
c. Context/situation/location d. Solution or benefits to the stakeholders
2. Which of the following are the methods of data collection?
a. Surveys and rumours b. AI models and applications
c. Web scraping and sensors d. Imagination and Internet
3. Which one of the following is an example of unsupervised learning model?
a. Regression b. Clustering
c. Classification d. Rule based
4. Regression only works with which kind of data.
a. Intermittent data b. Step function data
c. Linear data d. Continuous data
Components of AI Project Framework 177

