AI Project Cycle Fundamentals

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Questions and Answers

Which of the following best describes the primary function of the problem scoping stage in the AI project cycle?

Evaluating the performance of the AI model.
Understanding the problem and identifying the various factors affecting it. (correct)
Acquiring authentic data from reliable sources to train the AI model.
Visualizing data to determine relationships and patterns.

Data acquisition solely involves collecting data through surveys and does not include web scraping or sensor data.

False (B)

In the context of system maps, what do the arrows represent?

cause and effect relationships

The process of refining gathered data for better understanding and arranging it uniformly is known as data ______.

exploration Signup and view all the answers

Match the following AI model approaches with their descriptions:

Rule Based Approach = Uses rules defined by the developer to perform tasks. Learning Based Approach = Learns from the data and modifies its algorithms adaptively. Supervised Learning = Uses labeled datasets to train the model. Unsupervised Learning = Works on unlabeled datasets to identify patterns and relationships. Signup and view all the answers

What is the main difference between classification and regression models in supervised learning?

Classification models categorize data according to labels, while regression models predict continuous values. (D) Signup and view all the answers

In unsupervised learning, the dataset fed to the machine is labeled, allowing the model to learn from known outcomes.

False (B) Signup and view all the answers

What is the primary purpose of dimensionality reduction in AI?

to reduce the dimensions of entities while retaining essential information Signup and view all the answers

A reward-based AI model that learns by trial and error, aiming to maximize positive rewards, is known as ______ learning.

reinforcement Signup and view all the answers

Which of the following is an example of metrics used in the evaluation stage of the AI project cycle?

Accuracy, precision, recall, and F1 score (D) Signup and view all the answers

Flashcards

AI Project Cycle

A framework for designing AI projects, breaking tasks into manageable modules through 5 stages.

Problem Scoping

Understanding a problem and identifying factors that affect it using the 4W problem canvas (Who, What, When/Where, Why).

Data Acquisition

Acquiring authentic data from reliable sources, divided into training and testing data for the AI model.

Data Exploration

Refining gathered data for better understanding by visualizing it to identify trends, relationships, and patterns.