Page 164 - AI Ver 1.0 Class 10
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1. In how many categories can we divide learning based approach? Name them.
2. Write any two important features of neural networks.
At a Glance
• The process of developing AI machines has different stages that are collectively known as Al project cycle.
• There are mainly five stages of developing an AI Project: Problem Scoping, Data Acquisition, Data Exploration,
Modelling and Evaluation.
• Problem scoping is the first and the crucial stage of AI Project development which focuses on identifying and
understanding problems using 4Ws— Who, What, Where and Why.
• Data acquisition is the second stage of AI project cycle and is the process of collecting data required for training
the AI project.
• Data exploration is the third stage in the AI project cycle. It refers to exploring the large data to uncover the patterns
or trends needed for the AI project.
• Modelling is the fourth stage in the AI project cycle. It is an important stage where we decide on the technique to
be followed for building a model from the prepared data.
• Rule based approach is based on a set of rules and set of facts defined by the developer and fed to the machine to
perform its task accordingly and generate the desired output.
• Learning based approach refers to the model where the relationship or patterns in the data are not defined by the
developer.
• Evaluation is the fifth stage in the AI project cycle. It is the stage where we properly test the system to find out the
efficiency and performance of the model.
• Neural Networks are a series of algorithms used to recognise hidden patterns in raw data, cluster and classify it, and
continuously learn and improve.
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
162 Touchpad Artificial Intelligence-X

