What is training data and why is it crucial for Machine Learning?

Training data is the dataset used to teach machine learning algorithms patterns and relationships, forming the foundation for model performance.\n\n• Purpose: Provides examples for algorithms to learn from\n• Quality matters: Clean, representative data leads to better models\n• Quantity needs: More data generally improves performance\n• Bias concerns: Unrepresentative data creates biased models\n\nExample: To build an email spam classifier, training data includes thousands of emails labeled as "spam" or "not spam." The algorithm learns features like sender patterns, keywords, and formatting to classify new emails.