Basics of Training Data
Definition of Training Data
Importance in AI
Types of Training Data
Data Collection Methods
Manual Data Collection
Automated Data Collection
Public Datasets
Data Preparation Techniques
Data Cleaning Methods
Data Transformation
Feature Selection
Applications of Training Data
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Ethics and Bias in Data
Understanding Bias
Mitigating Bias
Ethical Considerations
Evaluating Training Data
Performance Metrics
Data Validation Techniques
Overfitting and Underfitting
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