Podcast
Questions and Answers
What is the primary question to ask before starting an AI development project?
What is the primary question to ask before starting an AI development project?
- How many team members are required?
- What resources are available for the project?
- Is there a pattern in the data? (correct)
- What is the budget for the project?
Which question type is associated with clustering in predictive analysis?
Which question type is associated with clustering in predictive analysis?
- Is this unusual?
- Which category?
- Which group? (correct)
- Which option should be taken?
What are the stages of the Design Thinking methodology?
What are the stages of the Design Thinking methodology?
- Empathize, Define, Ideate, Prototype, Test (correct)
- Empathize, Define, Validate, Prototype, Test
- Empathize, Create, Iterate, Test, Learn
- Identify, Define, Create, Prototype, Implement
What is a key reason to avoid applying AI techniques?
What is a key reason to avoid applying AI techniques?
Which type of question does regression in predictive analytics answer?
Which type of question does regression in predictive analytics answer?
Which industry problem is NOT mentioned as a focus for AI application?
Which industry problem is NOT mentioned as a focus for AI application?
What is the purpose of problem decomposition in computational tasks?
What is the purpose of problem decomposition in computational tasks?
What is the ultimate goal of employing AI techniques according to the content?
What is the ultimate goal of employing AI techniques according to the content?
What is the total number of variables in the housing dataset?
What is the total number of variables in the housing dataset?
What percentage of the dataset is typically used for training in a 67-33 split?
What percentage of the dataset is typically used for training in a 67-33 split?
Which of the following methods is used to evaluate the model's predictions?
Which of the following methods is used to evaluate the model's predictions?
What is the shape of the dataset after loading it into a Pandas DataFrame?
What is the shape of the dataset after loading it into a Pandas DataFrame?
What is the purpose of the train_test_split function in the model training process?
What is the purpose of the train_test_split function in the model training process?
In how many rows does the housing dataset contain observations?
In how many rows does the housing dataset contain observations?
Which machine learning model was utilized to fit the training dataset?
Which machine learning model was utilized to fit the training dataset?
What programming library is used to load the housing dataset in the example?
What programming library is used to load the housing dataset in the example?
What does the Airline Passengers dataset primarily represent?
What does the Airline Passengers dataset primarily represent?
What is indicated by the increasing amplitude of cycles in the Airline Passengers dataset?
What is indicated by the increasing amplitude of cycles in the Airline Passengers dataset?
When decomposing the Airline Passengers dataset, which components are extracted?
When decomposing the Airline Passengers dataset, which components are extracted?
Which visualization method is used to display the Airline Passengers dataset?
Which visualization method is used to display the Airline Passengers dataset?
What software library is used for seasonal decomposition of the Airline Passengers dataset?
What software library is used for seasonal decomposition of the Airline Passengers dataset?
What is the first step in problem decomposition?
What is the first step in problem decomposition?
What characteristic does the series show according to the line plot review?
What characteristic does the series show according to the line plot review?
Which of the following best represents the trend component in time series data?
Which of the following best represents the trend component in time series data?
What does the term 'residuals' refer to in the context of the time series analysis?
What does the term 'residuals' refer to in the context of the time series analysis?
What is a primary goal of those working in AI and Machine Learning as indicated in the content?
What is a primary goal of those working in AI and Machine Learning as indicated in the content?
When creating an app, which aspect is NOT typically considered during the decomposition process?
When creating an app, which aspect is NOT typically considered during the decomposition process?
What is the purpose of asking questions for clarification during problem-solving?
What is the purpose of asking questions for clarification during problem-solving?
In the example of calculating the volume of books, what is the significance of using a loop?
In the example of calculating the volume of books, what is the significance of using a loop?
During the decomposition of time series data, which of the following describes the seasonality component?
During the decomposition of time series data, which of the following describes the seasonality component?
Which of the following would be a first step in implementing a solution after understanding the problem?
Which of the following would be a first step in implementing a solution after understanding the problem?
Why is it important to break complicated pieces down into smaller pieces in problem-solving?
Why is it important to break complicated pieces down into smaller pieces in problem-solving?
What major phase follows the selection and scoping of relevant projects in the machine learning lifecycle?
What major phase follows the selection and scoping of relevant projects in the machine learning lifecycle?
Which programming language is noted as the most popular for building AI models?
Which programming language is noted as the most popular for building AI models?
What is a critical success factor in the Design/Building phase of AI model development?
What is a critical success factor in the Design/Building phase of AI model development?
Which of the following is NOT an example of productivity-enhancing capabilities in AI development?
Which of the following is NOT an example of productivity-enhancing capabilities in AI development?
What is a significant consideration in the testing phase of AI development projects?
What is a significant consideration in the testing phase of AI development projects?
Which platform is specifically recognized for helping with feature engineering and hyperparameter optimization?
Which platform is specifically recognized for helping with feature engineering and hyperparameter optimization?
Which of these does NOT constitute an AI development platform mentioned?
Which of these does NOT constitute an AI development platform mentioned?
What aspect is emphasized as crucial for collaboration during the Design/Building phase?
What aspect is emphasized as crucial for collaboration during the Design/Building phase?
What does the residual component indicate in the context of time series analysis?
What does the residual component indicate in the context of time series analysis?
Which of the following best defines the multiplicative model applied to the Airline Passengers dataset?
Which of the following best defines the multiplicative model applied to the Airline Passengers dataset?
What is suggested by the increasing amplitude of cycles in the Airline Passengers dataset?
What is suggested by the increasing amplitude of cycles in the Airline Passengers dataset?
What type of visualization is primarily used to display the raw observations of the Airline Passengers dataset?
What type of visualization is primarily used to display the raw observations of the Airline Passengers dataset?
In the context of analyzing the Airline Passengers dataset, which component is NOT typically extracted during seasonal decomposition?
In the context of analyzing the Airline Passengers dataset, which component is NOT typically extracted during seasonal decomposition?
What is the purpose of applying seasonal decomposition to the Airline Passengers dataset?
What is the purpose of applying seasonal decomposition to the Airline Passengers dataset?
Which library is utilized for performing seasonal decomposition in the analysis of the Airline Passengers dataset?
Which library is utilized for performing seasonal decomposition in the analysis of the Airline Passengers dataset?
How many monthly observations are included in the Airline Passengers dataset?
How many monthly observations are included in the Airline Passengers dataset?
What is more effective at driving action according to the information?
What is more effective at driving action according to the information?
Which step is NOT mentioned as a part of telling an effective data story?
Which step is NOT mentioned as a part of telling an effective data story?
What percentage of students felt excited about Science in the PRE poll?
What percentage of students felt excited about Science in the PRE poll?
After reassessing, which percentage of students felt bored in the POST poll?
After reassessing, which percentage of students felt bored in the POST poll?
What is the first step outlined in the process of telling an effective data story?
What is the first step outlined in the process of telling an effective data story?
Which option describes an action taken by the teacher after assessing the students' interests?
Which option describes an action taken by the teacher after assessing the students' interests?
What was the percentage of students who felt 'A bit interested' in the PRE poll?
What was the percentage of students who felt 'A bit interested' in the PRE poll?
What common factor is shared between both PRE and POST polls?
What common factor is shared between both PRE and POST polls?
What is the main purpose of the train-test split method in machine learning?
What is the main purpose of the train-test split method in machine learning?
Which of the following is NOT a consideration when choosing the split percentage for train and test datasets?
Which of the following is NOT a consideration when choosing the split percentage for train and test datasets?
What percentage of the dataset is typically assigned to the test set in a common train-test split of 80-20?
What percentage of the dataset is typically assigned to the test set in a common train-test split of 80-20?
Which of the following best describes the training dataset's role in the train-test split evaluation?
Which of the following best describes the training dataset's role in the train-test split evaluation?
What does a split size of 0.67 for the training dataset imply about the corresponding test dataset size?
What does a split size of 0.67 for the training dataset imply about the corresponding test dataset size?
When is the train-test split evaluation considered appropriate?
When is the train-test split evaluation considered appropriate?
Why is there no optimal split percentage for train and test datasets?
Why is there no optimal split percentage for train and test datasets?
Which of the following is a common split percentage used in the train-test approach?
Which of the following is a common split percentage used in the train-test approach?
What is the first step in the AI project lifecycle?
What is the first step in the AI project lifecycle?
Why is defining strategic business objectives important in the scoping phase?
Why is defining strategic business objectives important in the scoping phase?
What does the phrase 'garbage in, garbage out' imply in the context of AI projects?
What does the phrase 'garbage in, garbage out' imply in the context of AI projects?
During the scoping phase of an AI project, what is a critical component that needs to be evaluated?
During the scoping phase of an AI project, what is a critical component that needs to be evaluated?
Which phase comes after project scoping in the AI project lifecycle?
Which phase comes after project scoping in the AI project lifecycle?
What major factor must be addressed to ensure success in the scoping phase of AI projects?
What major factor must be addressed to ensure success in the scoping phase of AI projects?
In the context of AI model building, what does the term 'success metrics' refer to?
In the context of AI model building, what does the term 'success metrics' refer to?
What is a potential consequence of poor data quality during the scoping phase?
What is a potential consequence of poor data quality during the scoping phase?
What is the primary reason narratives are more effective than statistics in driving action?
What is the primary reason narratives are more effective than statistics in driving action?
Which of the following steps is NOT involved in telling an effective data story?
Which of the following steps is NOT involved in telling an effective data story?
After conducting a poll on students' feelings towards science, what action did the teacher take?
After conducting a poll on students' feelings towards science, what action did the teacher take?
What percentage of the dataset is designated for testing in a typical 80-20 split?
What percentage of the dataset is designated for testing in a typical 80-20 split?
In the results of the second poll, which response category showed the highest percentage?
In the results of the second poll, which response category showed the highest percentage?
What does an effective data story primarily aim to communicate?
What does an effective data story primarily aim to communicate?
Which Python library is primarily used for data manipulation before splitting the dataset?
Which Python library is primarily used for data manipulation before splitting the dataset?
Which aspect is essential when developing a narrative for a data story?
Which aspect is essential when developing a narrative for a data story?
What function is used to split the dataset into training and testing sets?
What function is used to split the dataset into training and testing sets?
Which of the following is likely a reason someone might feel bored about science, prior to any instructional changes?
Which of the following is likely a reason someone might feel bored about science, prior to any instructional changes?
Which line of code correctly selects the features for prediction in the dataset?
Which line of code correctly selects the features for prediction in the dataset?
Which data visualization approach was employed by the teacher to assess student interest in science?
Which data visualization approach was employed by the teacher to assess student interest in science?
After executing 'x_train, x_test, y_train, y_test=train_test_split(x,y,test_size=0.2)', what is the shape of x_train?
After executing 'x_train, x_test, y_train, y_test=train_test_split(x,y,test_size=0.2)', what is the shape of x_train?
What is the purpose of using the drop() function when preparing the dataset?
What is the purpose of using the drop() function when preparing the dataset?
Which command is used to load a CSV file into a Pandas DataFrame?
Which command is used to load a CSV file into a Pandas DataFrame?
What is a key role of features in supervised learning?
What is a key role of features in supervised learning?
What advantage does a larger test set provide when evaluating model quality?
What advantage does a larger test set provide when evaluating model quality?
How does cross-validation differ from a simple train-test split in terms of data usage?
How does cross-validation differ from a simple train-test split in terms of data usage?
What is one of the main trade-offs when choosing between cross-validation and a train-test split?
What is one of the main trade-offs when choosing between cross-validation and a train-test split?
Why might a smaller dataset be more suited to using cross-validation?
Why might a smaller dataset be more suited to using cross-validation?
What is a key reason that relying on a single test set can be problematic?
What is a key reason that relying on a single test set can be problematic?
How many folds are typically used in a standard cross-validation approach described?
How many folds are typically used in a standard cross-validation approach described?
What is the impact of increased set size on the noise of model score measurements?
What is the impact of increased set size on the noise of model score measurements?
What happens at each fold in the cross-validation procedure?
What happens at each fold in the cross-validation procedure?
Flashcards
Pattern Identification
Pattern Identification
The first step in applying AI is to determine if a pattern exists in the data that can be used for analysis.
AI Application Criteria
AI Application Criteria
AI techniques should only be applied if a discernible pattern exists in the data.
Predictive Analysis Types
Predictive Analysis Types
AI can answer questions related to classification, regression, clustering, anomaly detection, and recommendations.
Classification
Classification
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Regression
Regression
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Clustering
Clustering
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Anomaly Detection
Anomaly Detection
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Design Thinking Stages
Design Thinking Stages
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Problem Decomposition
Problem Decomposition
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Input/Output Identification
Input/Output Identification
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Clarification Questions
Clarification Questions
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Iterative Refinement
Iterative Refinement
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Step-by-Step Implementation
Step-by-Step Implementation
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Testing and Debugging
Testing and Debugging
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Time Series Decomposition
Time Series Decomposition
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Time Series Components
Time Series Components
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Multiplicative Model
Multiplicative Model
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Trend
Trend
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Seasonality
Seasonality
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Noise
Noise
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Amplitude
Amplitude
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Residuals
Residuals
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Airline Passengers Data
Airline Passengers Data
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Data Story
Data Story
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Audience Understanding
Audience Understanding
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Data Selection
Data Selection
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Visualization
Visualization
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Key Information Highlights
Key Information Highlights
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Narrative Development
Narrative Development
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Audience Engagement
Audience Engagement
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Data Story Impact
Data Story Impact
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AI Model Building Phases
AI Model Building Phases
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Design/Build Phase: Iteration
Design/Build Phase: Iteration
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AI Model Validation
AI Model Validation
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Open AI Frameworks
Open AI Frameworks
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AI Development Platforms
AI Development Platforms
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AI Model Testing Considerations
AI Model Testing Considerations
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AI Testing: Data Validation
AI Testing: Data Validation
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Why AI Platform Documentation is Important
Why AI Platform Documentation is Important
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Housing Dataset
Housing Dataset
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Input Variables
Input Variables
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Target Variable
Target Variable
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Train-Test Split
Train-Test Split
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Random Forest
Random Forest
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Mean Absolute Error (MAE)
Mean Absolute Error (MAE)
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Why is a 67/33 split used?
Why is a 67/33 split used?
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What is the purpose of 'random_state'?
What is the purpose of 'random_state'?
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Training Set
Training Set
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Test Set
Test Set
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Train-Test Split Percentage
Train-Test Split Percentage
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Model Performance on New Data
Model Performance on New Data
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Computational Cost
Computational Cost
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Representativeness
Representativeness
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Train-Test Split in Python
Train-Test Split in Python
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Why split data?
Why split data?
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What is the purpose of 'test_size'?
What is the purpose of 'test_size'?
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What does 'random_state' do?
What does 'random_state' do?
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Features vs. Labels
Features vs. Labels
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Import Pandas & Sklearn
Import Pandas & Sklearn
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Load the Dataset
Load the Dataset
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Split the Data
Split the Data
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Test Set Size
Test Set Size
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Cross-Validation
Cross-Validation
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Cross-Validation Folds
Cross-Validation Folds
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Tradeoff: Speed vs. Accuracy
Tradeoff: Speed vs. Accuracy
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Cross-Validation for Small Datasets
Cross-Validation for Small Datasets
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Why Cross-Validation Matters
Why Cross-Validation Matters
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Data Noise
Data Noise
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AI Project Cycle
AI Project Cycle
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AI Deployment
AI Deployment
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IBM Watson
IBM Watson
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Requirements Analysis
Requirements Analysis
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Return on Investment (ROI)
Return on Investment (ROI)
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Data Preparation
Data Preparation
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Garbage In, Garbage Out
Garbage In, Garbage Out
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Pre-Post Analysis
Pre-Post Analysis
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Study Notes
Artificial Intelligence Study Material (Class XII)
- This document is a teacher instruction manual for a Level 3 AI course (Unit 1-3) for Class 12 students.
- It covers three units: Capstone project, Model life cycle, and Story telling through data.
- An appendix provides additional resources (Python) for advanced learners.
Unit 1: Capstone Project
- Title: Capstone Project
- Approach: Hands-on, Teamwork, Web Search, Case Studies
- Summary: The final project of the academic program; integration of all prior learning through real-world projects and solutions.
- Objectives:
- Apply learning to real world problems
- Clearly communicate solutions using non-technical terms
- Choose and apply appropriate algorithms to solve identified problems
- Key Concepts: AI Project Cycle, Model Validation, RMSE, MSE, MAPE
- Capstone Project Ideas:
- Stock Price Predictor
- Sentiment Analyzer
- Movie Ticket Price Predictor
- Student Result Predictor
- Human Activity Recognition (Smartphone Data Set)
- Image Classification (Humans and Animals)
Unit 2: Model Life Cycle
- Title: Model Life Cycle
- Approach: Hands-on, Teamwork, Web Research, Case Studies
- Summary: The cyclical process for AI/machine learning projects, typically involving scoping, design, building, deployment, feedback and production.
- Objectives:
- Develop capstone projects by applying AI project cycle methodologies
- Break down projects into different phases of the AI project cycle
- Select and apply appropriate AI models to solve problems.
- Key Concepts: AI Project Cycle, Model Validation, AI Deployment, IBM Watson
Unit 3: Story Telling Through Data
- Why Storytelling is Important: Creates engagement, establishes community, and promotes cross-cultural understanding. Essential part of indigenous cultures.
- Data Storytelling Steps:
- Understand the audience
- Choose right data and visualizations
- Emphasize key information
- Develop a narrative
- Engage the audience
Appendix: Additional Resources (Python)
- Resources: Python notebooks, links to Open Source GitHub repositories, and eBooks.
- Categories: Beginner (no prior Python experience) and Advanced (prior experience).
- Availability: Cloud based storage.
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Description
This quiz covers the key concepts and objectives from the AI Level 3 course for Class 12 students, focusing on the Capstone project, model life cycle, and storytelling through data. Students will integrate their learning through real-world projects while applying algorithms and communicating solutions. The quiz also includes resources for advanced learners using Python.
