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GenAI for Social Good
Unit 1
GEnAi Tools
Introduction to GEnAi Tools
Data Collection and Processing Tools for GEnAi
Machine Learning and AI Tools for GEnAi
Ethical Considerations in GEnAi Tools
Integration of GEnAi Tools in Social Impact Projects
Unit 2
GenAi and Social Good
Introduction to GenAi and Social Good
Ethical Considerations in GenAi for Social Good
Case Studies of GenAi for Social Good
Unit 3
Sustainable Environment goals and GenAI
Introduction to Sustainable Environment Goals
GenAI Solutions for Environmental Conservation
AI for Climate Change Mitigation
Unit 1 • Chapter 3
Machine Learning and AI Tools for GEnAi
Summary
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Concept Check
What is a key benefit of using Ensemble Learning in Machine Learning?
Improved predictive performance
Faster training time
Higher model interpretability
Simpler model implementation
In Natural Language Processing, what does TF-IDF stand for?
Text File-Inverse Derivative Function
Term Frequency-Inverse Document Frequency
Total Frequency-Inverse Data Format
Token Frequency-Inverse Document Frequency
What is the purpose of using K-fold cross-validation in Machine Learning?
To assess and improve model performance
To increase training data size
To decrease testing data size
To simplify feature engineering
What library in Python is commonly used for deep learning tasks?
Matplotlib
Pandas
Scikit-learn
TensorFlow
What is the activation function commonly used in neural networks?
Sigmoid
Tanh
ReLU (Rectified Linear Unit)
Softmax
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Data Collection and Processing Tools for GEnAi
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Ethical Considerations in GEnAi Tools