Podcast
Questions and Answers
Which of the following is NOT a type of machine learning algorithm mentioned in the text?
Which of the following is NOT a type of machine learning algorithm mentioned in the text?
- Clustering
- Reinforcement Learning
- Dimensionality Reduction
- Supervised Learning (correct)
Dimensionality reduction techniques aim to make data easier to visualize.
Dimensionality reduction techniques aim to make data easier to visualize.
True (A)
What is the primary goal of clustering algorithms?
What is the primary goal of clustering algorithms?
To group similar data points together based on patterns or trends identified within the dataset.
In reinforcement learning, the model learns through trial and error using feedback in the form of ______ and ______.
In reinforcement learning, the model learns through trial and error using feedback in the form of ______ and ______.
What type of dataset is used in a supervised learning model?
What type of dataset is used in a supervised learning model?
Regression models in supervised learning work with discrete data.
Regression models in supervised learning work with discrete data.
What are labels used for in supervised learning?
What are labels used for in supervised learning?
In unsupervised learning, the model works on __________ datasets.
In unsupervised learning, the model works on __________ datasets.
Match the following terms with their definitions:
Match the following terms with their definitions:
Which of the following is an example of a supervised learning model?
Which of the following is an example of a supervised learning model?
Which of the following is NOT a stage of the AI Project cycle?
Which of the following is NOT a stage of the AI Project cycle?
The Sustainable Development Goals (SDGs) aim to end poverty, protect the planet, and ensure peace and prosperity for all people.
The Sustainable Development Goals (SDGs) aim to end poverty, protect the planet, and ensure peace and prosperity for all people.
Unsupervised learning helps in identifying relationships and patterns in data.
Unsupervised learning helps in identifying relationships and patterns in data.
Name the 4Ws of problem canvases in the problem scoping stage.
Name the 4Ws of problem canvases in the problem scoping stage.
What is a primary goal of unsupervised learning?
What is a primary goal of unsupervised learning?
The two different approaches for AI modeling are _______ Based and Learning Based.
The two different approaches for AI modeling are _______ Based and Learning Based.
What is a characteristic of a Rule Based model?
What is a characteristic of a Rule Based model?
In the Learning Based approach, the model does not modify itself according to changes in data.
In the Learning Based approach, the model does not modify itself according to changes in data.
What happens to a machine once it is trained under the Rule Based approach?
What happens to a machine once it is trained under the Rule Based approach?
Match the AI modeling approaches with their definitions.
Match the AI modeling approaches with their definitions.
Which of the following is NOT a source for collecting reliable datasets?
Which of the following is NOT a source for collecting reliable datasets?
Problem scoping is the final step in the AI project cycle.
Problem scoping is the final step in the AI project cycle.
What are the four parameters used to evaluate an AI model?
What are the four parameters used to evaluate an AI model?
The process of acquiring data for an AI project is known as ______.
The process of acquiring data for an AI project is known as ______.
Match the following stages in the AI project cycle with their descriptions:
Match the following stages in the AI project cycle with their descriptions:
Which step comes immediately after Data Acquisition in the AI project cycle?
Which step comes immediately after Data Acquisition in the AI project cycle?
The 4Ws problem canvas helps in analyzing the people affected by a problem.
The 4Ws problem canvas helps in analyzing the people affected by a problem.
What is the main purpose of Data Modelling in the AI project cycle?
What is the main purpose of Data Modelling in the AI project cycle?
Which of the following accurately describes stakeholders in a problem?
Which of the following accurately describes stakeholders in a problem?
Artificial Neural Networks require programmers to manually feed input features.
Artificial Neural Networks require programmers to manually feed input features.
What is a key characteristic of every node in an Artificial Neural Network?
What is a key characteristic of every node in an Artificial Neural Network?
In rule-based AI modeling, the machine follows the rules defined by the ______.
In rule-based AI modeling, the machine follows the rules defined by the ______.
Match the following AI modeling approaches with their characteristics:
Match the following AI modeling approaches with their characteristics:
What context should you consider when analyzing a problem?
What context should you consider when analyzing a problem?
Artificial Neural Networks are only useful for small datasets.
Artificial Neural Networks are only useful for small datasets.
What is the primary difference between rule-based and learning-based AI?
What is the primary difference between rule-based and learning-based AI?
What is the primary focus of a Learning Based Approach in AI?
What is the primary focus of a Learning Based Approach in AI?
An Artificial Neural Network consists of only one layer.
An Artificial Neural Network consists of only one layer.
What is the purpose of the Hidden Layer in an Artificial Neural Network?
What is the purpose of the Hidden Layer in an Artificial Neural Network?
The goal of evaluation in an AI project cycle is to understand the ______ of the AI model.
The goal of evaluation in an AI project cycle is to understand the ______ of the AI model.
Which of the following best describes an Input Layer in an Artificial Neural Network?
Which of the following best describes an Input Layer in an Artificial Neural Network?
What does the Problem Statement Template help summarize?
What does the Problem Statement Template help summarize?
Evaluation in AI is only necessary before deploying a model.
Evaluation in AI is only necessary before deploying a model.
_______ learning techniques enable an agent to learn from its own actions and experiences in an interactive environment.
_______ learning techniques enable an agent to learn from its own actions and experiences in an interactive environment.
Dimensionality reduction techniques aim to decrease the number of dimensions in data.
Dimensionality reduction techniques aim to decrease the number of dimensions in data.
Which of the following is NOT a characteristic of the data exploration stage?
Which of the following is NOT a characteristic of the data exploration stage?
Match the machine learning algorithms with their primary purpose:
Match the machine learning algorithms with their primary purpose:
What is the main aim of clustering algorithms?
What is the main aim of clustering algorithms?
Which of these is NOT a source for collecting reliable datasets?
Which of these is NOT a source for collecting reliable datasets?
The data exploration stage focuses on acquiring new data sources.
The data exploration stage focuses on acquiring new data sources.
Data can be defined as a collection of ______ or ______ collected for reference and analysis.
Data can be defined as a collection of ______ or ______ collected for reference and analysis.
Flashcards
Supervised Learning
Supervised Learning
A machine learning model using labeled datasets for training.
Label in Supervised Learning
Label in Supervised Learning
Information used as a tag for data in supervised learning.
Classification Model
Classification Model
A supervised learning algorithm that categorizes data into discrete classes.
Regression Model
Regression Model
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Unsupervised Learning
Unsupervised Learning
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Patterns in Unsupervised Learning
Patterns in Unsupervised Learning
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Continuous Data
Continuous Data
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Discrete Data
Discrete Data
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AI Project Cycle Stages
AI Project Cycle Stages
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Sustainable Development Goals (SDGs)
Sustainable Development Goals (SDGs)
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4Ws of Problem Canvases
4Ws of Problem Canvases
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Training Dataset
Training Dataset
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Testing Dataset
Testing Dataset
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Rule-Based AI Modeling
Rule-Based AI Modeling
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Learning-Based AI Modeling
Learning-Based AI Modeling
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Adaptive Learning
Adaptive Learning
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Clustering
Clustering
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Dimensionality Reduction
Dimensionality Reduction
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Reinforcement Learning
Reinforcement Learning
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Data Exploration
Data Exploration
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Interactive Learning
Interactive Learning
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Trial and Error
Trial and Error
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Data Validation
Data Validation
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Reliable Data Sources
Reliable Data Sources
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AI Project Training
AI Project Training
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Data Acquisition
Data Acquisition
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Data Modelling
Data Modelling
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Model Evaluation
Model Evaluation
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Problem Scoping
Problem Scoping
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4Ws Problem Canvas
4Ws Problem Canvas
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Model Efficiency Parameters
Model Efficiency Parameters
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Stakeholders in Problem Solving
Stakeholders in Problem Solving
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Nature of the Problem
Nature of the Problem
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Context of the Problem
Context of the Problem
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Benefits to Stakeholders
Benefits to Stakeholders
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Features of Artificial Neural Networks
Features of Artificial Neural Networks
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Example of Rule-Based AI
Example of Rule-Based AI
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Learning Based Approach
Learning Based Approach
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Artificial Neural Network (ANN)
Artificial Neural Network (ANN)
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Input Layer
Input Layer
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Hidden Layer
Hidden Layer
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Output Layer
Output Layer
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Problem Statement Template
Problem Statement Template
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Evaluation in AI
Evaluation in AI
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Model Performance Testing
Model Performance Testing
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